Member, technical staff jobs in Bakersfield, CA

Salary Range: $180k - $250k, dependent on experience + generous equity. We are actively recruiting a Senior Backend Engineer for our client, a high-traction B2B SaaS company that recently secured its Series A funding. This role is critical to scaling the company's core platform as they onboard major enterprise clients and compete for an RFP with a public company. We are looking for a highly confident, knowledgeable, and pragmatic engineer with a "can-do" attitude. 💻 Key Responsibilities and Impact The primary focus of this role is to build and scale the platform for enterprise clients. This person will own crucial components needed to handle a projected 10x system scale within the next three to six months. Focus Areas: HR System Integration and Data Modelling: Owning integrations with various HR systems (e.g., Workday, Bamboo HR) and ATS platforms. You will be responsible for building a robust data model to create a "system of record" for tracking the entire immigration history (from student to H1B renewal to Green Card) of foreign nationals within client companies. Scalability: Addressing significant scalability challenges across the entire system-from database services to APIs-to support thousands of new employees and hundreds of foreign nationals from new enterprise customers. Enterprise Functionality & Features: Developing new features, including essential enterprise requirements like implementing support for Enterprise Single Sign-On (SSO). 🛠️ Technical Stack and Requirements Core Backend Stack: Python FastAPI and Postgres for the database. Expertise in Python is preferred. Experience Profile: Ideal candidates have a strong background working with enterprise or B2B SaaS products. Experience with business intelligence or HR software is a plus. Testing & Quality: You must be comfortable with testing and have experience setting up or improving integration tests through APIs, as this is currently a focus area for the team. DevOps Comfort: Must be comfortable and willing to take on different hats, including basic DevOps tasks, as the team does not have a dedicated DevOps engineer.

🚀 Staff Software Engineer (TypeScript) - Member of Technical Staff 📍 SF | 💰 $200K-$300K + Equity | 🩺 Full Benefits | 🌴 Unlimited PTO | 🧭 Flexible Work We're partnered with a next-generation AI automation company building intelligent agents that redefine how complex workflows are executed. With $10M+ in funding and an elite engineering team (MIT alumni, ex-Meta), they're entering a stage of hypergrowth! This is a hands-on Staff/MTS role for someone who wants to set technical direction, own platform architecture, and ship core systems that power both developer and no-code automation experiences. 🧩 What You'll Own Own major architecture & platform decisions End-to-end TypeScript (Node / Nest / Express / React / Next) APIs, SDKs & no-code automation tools Event-Driven Architecture & IaC Streaming Systems, Workflow Orchestration & Durable Systems Advanced RAG pipelines & data orchestration layers End-to-end feature ownership across backend, frontend & workflows Testing excellence & CI/CD with Cypress, Playwright & modern pipelines Technical leadership, mentorship & engineering standards 🎯 Who Thrives Here Staff-level engineer with a history of leading complex, cross-system initiatives Deep TypeScript mastery across platform, product & tooling Strong experience with Node, Express/Nest, React, Next, Prisma & modern ORMs Proven success shipping complex APIs, SDKs, dev platforms or distributed systems Reliability-first mindset with strong automated testing Bonus: workflow automation, durable objects, RAG, data pipelines, web scraping Product-driven, pragmatic, and excited to build tools people actually use 💥 Why This Role Is Special You'll shape the core of an AI agent platform from the inside Real architectural authority & ownership Direct access to founders & technical leadership Work with elite engineers tackling genuinely hard engineering problems High compensation, meaningful equity, and long-term impact This is a rare chance to build foundational infrastructure for the future of AI agents alongside a deeply technical, fast-moving team. You'll have real ownership, real influence and the opportunity to shape a platform that is defining how automation is built at scale. If you're excited by hard problems, massive technical leverage, and building systems that matter - we'd love to hear from you.

About the job Staff Software Engineer - SF Bay (4 days onsite) | Up to $195K - $255K + Equity TogetherWeTech is hiring a Staff Software Engineer to take end to end ownership of critical product areas, from architecture through launch, and set the technical direction for how we build at scale. You will drive design reviews, ship prototypes that push our product forward, and establish pragmatic engineering standards that balance speed and quality. Beyond your own contributions, you will mentor teammates into future tech leads and help grow a world class engineering culture. Their mission is to reshape design by streamlining the path from concept to creation, bringing more impactful ideas into the physical world. A well-funded (Series B $51m to date), growing double-digits MoM, and expanding the core engineering team in SF. The surface area is big: realtime collaboration, GPU inference at scale, a modern TypeScript stack, and serving real enterprise What you'll do: Set the architecture roadmap to keep our product reliable, scalable, and a joy to develop in as usage, models, and data grow. Ship hands-on: jump into code for critical paths, rapid prototypes, and hairy debugging (latency, memory, race conditions, WebGL/WASM quirks). Install quality guardrails that scale: test strategy, code-review norms, perf budgets, observability baselines. Mentor and multiply: develop senior engineers into tech leads, model clear written design, and practice crisp decision-making. Partner cross-functionally: represent engineering trade-offs with Product, Design, and Go-To-Market; act as the CTO's delegate when needed. Your toolbox: Frontend: TypeScript, React, Vite, WebGL; realtime collaboration. API/Backend: TypeScript/Node, GraphQL (PostGraphile), Postgres, Redis, background workers. Infra: Kubernetes, Pulumi, CI/CD with GitHub Actions, Datadog for observability, feature flags. Security/Enterprise: SSO/SAML (WorkOS), SOC 2-minded practices. To be considered, 2+ years of Staff Software Engineer role. If you are a passionate and an experienced Staff Softwared Engineer looking to make a difference in a fast-paced and innovative environment, we would love to hear from you! Better Together🟢

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

What you will find ... hybrid on-site 1 day/week exceptional benefits (pension plan options) top ranked hospital in the U.S. What you will do ... manage 2 direct reports (LMS Admin & LMS Coordinator) lead design of Learning Management System (LMS) assist with migration from HealthStream to Oracle LMS ensure LMS governance & compliance in a hospital setting improve LMS operational efficiency & user engagement liaison with HR & stakeholder leadership Wish list ... 8+ years' experience in Learning Management System (LMS) 3+ years in Cloud LMS platforms learning tools & design standards (SCORM) REQUIRED: hospital or healthcare IT setting REQUIRED: Bachelor's degree

Manager, Technology - Data & Analytics FTE | Hybrid Onsite | Los Angeles, CA Target Base Salary: $150-180k In this role you are a strategic thinker and technical leader, skilled in building robust, scalable solutions that support enterprise-wide data needs. Your expertise in data integration, cloud platforms, and modern development practices empowers you to architect systems that enable advanced analytics, AI, and machine learning across the organization. In this role, you will lead a team of integration engineers focused on designing, developing, and maintaining data pipelines and automation frameworks that span multiple platforms and technologies. Leveraging your proficiency in Python, Snowflake, Azure, and scripting languages, you will deliver secure, high-performance solutions that power critical business insights. You'll work closely with stakeholders across data science, analytics, and IT teams to define technical strategy, set priorities, and ensure successful delivery of integration projects. You will also be responsible for overseeing version control, CI/CD processes, and infrastructure automation using tools such as GitHub and Azure DevOps. Familiarity with data ingestion and transformation platforms like Fivetran, SQL Server, SSIS, Astronomer, Airflow, and reporting tools like Tableau will help you drive operational excellence and continuous improvement. Additionally, your experience with document processing solutions will enable you to support a broad range of use cases, from traditional reporting to intelligent automation. Responsibilities: Lead and mentor a team of data engineers and integration specialists. Define and implement best practices for data integration, ETL/ELT processes, and data governance. Collaborate with business stakeholders to understand integration requirements and translate them into technical solutions. Oversee the development and optimization of data pipelines using Python, Snowflake, and Azure services. Integrate AI and machine learning models into data workflows for predictive analytics and automation. Implement document processing solutions for extracting and structuring data from unstructured sources. Ensure data quality, security, and compliance across all integration processes. Utilize GitHub and Azure DevOps for source control, code reviews, and deployment automation. Stay current with emerging technologies and recommend improvements to existing architecture. Basic Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred). 7+ years of experience in data engineering or integration roles, with at least 2 years in a leadership capacity. Strong proficiency in Python, SQL, and scripting languages (e.g., PowerShell, Bash). Hands-on experience with Snowflake, Azure functionality, and cloud-based data solutions. Familiarity with GitHub and Azure DevOps for CI/CD and version control. Experience implementing AI/ML models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with document processing frameworks (e.g., OCR, NLP). Bonus Skills: Experience with Fivetran, SQL Server, SSIS, Astronomer, Airflow, and Tableau. Excellent communication and leadership skills. Preferred Qualifications: Previous work experience in a financial institution environment. Possess strong analytical skills and ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization may exist. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. The Company: Series C AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Hi, Greetings from Solvecube HCM I hope you are enjoying a great day! I am from Solvecube HCM, an AI Based global consulting firm head quartered in Singapore. Our client is a Healthcare AI Startup based in San Francisco, USA and looking for a great tech leader as their Principal Engineer. It is a permanent role with client. Your experience at Ambience Healthcare must have equipped you with unique insights and skills that could be a great fit for this role. This opportunity offers a chance to work with a talented team and fixed Salary+Stock options. Key Responsibilities Set technical vision and lead architecture for AI-first platform services. Build advanced systems in LLMOps, reinforcement learning, and AI pipelines. Evaluate and integrate cutting-edge frameworks (LangChain, Hugging Face, RAG). Collaborate with leadership on long-term technology strategy. Mentor senior engineers across India and US teams. Qualifications 10+ years of experience in software/AI engineering, including leadership roles. Deep expertise in PyTorch, TensorFlow, LangChain, Hugging Face. Proven ability to innovate and deliver in startup/scale-up environments. Strong communication and collaboration skills. If this sounds intriguing, I'd love to chat more about it. Feel free to reply to this email or let me know if you'd prefer a quick call. Looking forward to hearing from you soon! If you are not exploring at this moment let me know if you have a strong reference for the same. Please note: The incumbent should be a local citizen or a Green card holder to be eligible. Best regards, Lijy Ronnie Mail me : ******************

Technical Alignment Manager (MSP) Client-Facing • La Verne, CA Area $120,000-$135,000 + Cert-Driven Raises I lead a Microsoft-first, cloud-focused MSP that's been helping businesses modernize since the early 2000s. We work with orgs that actually care about technology; non-profits, local government, manufacturers, professional services, and we're investing heavily in scaling a repeatable, high-quality service model. I'm hiring a Technical Alignment Manager to own a set of clients, tighten up their environments, and help drive our next phase of growth. If you like being “the” trusted engineer for a group of customers, this is that kind of role. You'll be primarily in person at client offices Monday through Friday, focused around the La Verne area. That means you'll really know your environments, build real relationships, and see the impact of your work. This isn't a churn-and-burn ticket role. You'll be the person who walks in, sees the bigger picture, and quietly fixes the things that have annoyed users and previous providers for years, while building a path for yourself into architecture, vCIO/strategy, or leadership. What you'll be doing Acting as the primary technical face for a set of clients in the La Verne corridor and nearby cities Reviewing environments against our standards and best practices, then planning and implementing improvements Rolling out new hardware, Microsoft 365 services, Azure AD changes, and local infrastructure updates Hardening environments each month (4-8 hours per client) with tangible, documented changes instead of “busy work” Cleaning up legacy sprawl: tightening identity, permissions, backups, network layout, and endpoint configurations Keeping documentation current so our central team can execute quickly and consistently Partnering with our service leadership and vCIOs to turn recurring technical pain points into permanent fixes Leading local activities during projects and being the calm, credible technical voice in front of end users and stakeholders Why this role has real growth Clear career track into Senior Technical Alignment Manager, Cloud Architect, or vCIO-style advisory work Direct visibility with our Director of Service Delivery and leadership team (your work is highly noticeable) We give salary increases for every approved technical certification you earn and no cap Heavily Microsoft-focused environment (M365, Azure, identity, security) so your skills stack stays current and in demand You'll see a wide variety of environments and industries, building a portfolio of wins you can point to What makes you a great fit 5+ years in IT (MSP, consulting, or similar), with comfort working independently at customer locations Strong Microsoft stack experience: Microsoft 365 (Exchange Online, SharePoint, Teams) Azure AD / Entra ID and Windows Server Solid grounding in networking fundamentals (VLANs, firewalls, DNS/DHCP) Comfortable leading the charge on small to mid-sized projects at client sites You enjoy talking to non-technical people and can explain “why” in plain language You're organized enough to keep standards, documentation, and follow-through tight Nice-to-have (not deal breakers) Experience in an MSP or IT services firm working with multiple clients Cisco, Azure or Microsoft Certifications Microsoft certifications (Modern Desktop, Azure Fundamentals, or similar) Exposure to PSA/RMM tools like ConnectWise and a remote management platform Compensation & benefits Salary: $120,000-$135,000 base depending on experience Unlimited salary increases tied to approved certifications once passed Health insurance starting day one Vision, dental, life, accident, and disability options Medical and Dependent Care FSA Employee Assistance Program and discount programs 401(k) with company match Paid holidays and PTO Company laptop + cellphone reimbursement Technology certification reimbursement program If you're a Microsoft-focused engineer who likes being embedded with clients, shaping their environments, and actually seeing your work pay off, in your career and your paycheck.

Member of Technical Staff - Applied AI / ML Engineer San Francisco, Union Square (Onsite) • Up to $325K + stock options We're partnering with an AI startup in San Francisco that operates in the tax and accounting automation space to hire a Member of Technical Staff focused on Applied AI / ML. The company builds GenAI-driven systems that turn complex, unstructured documents into accurate, structured data at scale. They were recently acquired by a major global tech company, and this role has full end to end ownership of production ML systems. What you'll do: Building the ML and backend infrastructure that powers their core product Improving datasets, inference systems, and domain logic as they scale to millions of documents Working directly with accountants and end users to understand practical requirements Owning ML components end-to-end and integrating them into a cohesive product Translating expert-level tax and accounting knowledge into scalable software systems What we're looking for: 4+ years of ML engineering experience, focused on building production systems that deliver real end-user value Strong Python skills, plus experience with LLMs and LLM APIs Ability to work with large datasets and build accurate, scalable data and ML pipelines Someone who can work directly with customers and product to understand requirements and turn them into working solutions High trajectory shown through promotions or increasing ownership If this sounds like a strong fit and you'd like to find out more about this role please apply and we'll be in touch.

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

Salary: 125K-$140K + unlimited certification-based raises About the Company (MSP Experience Required) We're a people-first MSP that's been reshaping IT services since 2002 by focusing on meaningful innovation and a Microsoft-first approach. Our clients span nonprofit, government, manufacturing, and other impact-driven industries-organizations that want IT to move them forward , not hold them back. Our culture is built for growth and creativity. We believe in continuous learning, training investment, and equipping every team member with the tools to become a top-tier engineer. If you want a place that values curiosity, autonomy, and impact, you'll feel right at home. We're seeking a Technical Alignment Manager (TAM) who is hands-on, engineering-focused, and fully consultative-NOT an account manager, salesperson, or quota carrier. This role is ideal for a seasoned MSP engineer who loves being onsite, solving real problems, strengthening environments, and guiding clients through best practices. You'll work independently at client locations, drive proactive improvements, perform audits, implement technology, and uncover recurring issues before they become problems. You own the technical relationship , not renewals or sales cycles. What You'll Do Onsite engineering & problem management: Diagnose and permanently resolve issues; prevent repeat incidents. Implement tech: Deploy hardware/software, configure systems, and ensure environments meet standards. Monthly proactive change work: Deliver 4-8 hours per client of hardening, improvement, and standardization. Audit & document: Identify gaps, document environments, and maintain accuracy across sites. Partner in long-term solutions: Spot recurring issues and collaborate internally to eliminate root causes. Lead onsite activities: Provide direction during project work or escalations (no staff management). Requirements ✔ 5+ years in IT support, systems admin, or technical consulting ✔ MSP experience required (multi-client, onsite, client-facing) ✔ Strong in Microsoft 365, Azure AD, Windows Server, networking ✔ Comfortable working independently at client sites ✔ Experience with PSA/RMM (ConnectWise preferred) ✔ Strong documentation, communication, and prioritization skills Benefits Health insurance (Day 1) Life insurance, dental, vision, accident, disability options FSA options EAP + employee discounts 401(k) with company match Holidays + PTO Laptop + cellphone reimbursement Certification reimbursement plus salary increases for every passed certification

Member of Technical Staff - Applied AI / ML Engineer San Francisco, Union Square (Onsite) • Up to $325K + stock options We're partnering with an AI startup in San Francisco that operates in the tax and accounting automation space to hire a Member of Technical Staff focused on Applied AI / ML. The company builds GenAI-driven systems that turn complex, unstructured documents into accurate, structured data at scale. They were recently acquired by a major global tech company, and this role has full end to end ownership of production ML systems. What you'll do: Building the ML and backend infrastructure that powers their core product Improving datasets, inference systems, and domain logic as they scale to millions of documents Working directly with accountants and end users to understand practical requirements Owning ML components end-to-end and integrating them into a cohesive product Translating expert-level tax and accounting knowledge into scalable software systems What we're looking for: 4+ years of ML engineering experience, focused on building production systems that deliver real end-user value Strong Python skills, plus experience with LLMs and LLM APIs Ability to work with large datasets and build accurate, scalable data and ML pipelines Someone who can work directly with customers and product to understand requirements and turn them into working solutions High trajectory shown through promotions or increasing ownership If this sounds like a strong fit and you'd like to find out more about this role please apply and we'll be in touch.

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

Member of Technical Staff - Applied AI / ML Engineer San Francisco, Union Square (Onsite) • Up to $325K + stock options We're partnering with an AI startup in San Francisco that operates in the tax and accounting automation space to hire a Member of Technical Staff focused on Applied AI / ML. The company builds GenAI-driven systems that turn complex, unstructured documents into accurate, structured data at scale. They were recently acquired by a major global tech company, and this role has full end to end ownership of production ML systems. What you'll do: Building the ML and backend infrastructure that powers their core product Improving datasets, inference systems, and domain logic as they scale to millions of documents Working directly with accountants and end users to understand practical requirements Owning ML components end-to-end and integrating them into a cohesive product Translating expert-level tax and accounting knowledge into scalable software systems What we're looking for: 4+ years of ML engineering experience, focused on building production systems that deliver real end-user value Strong Python skills, plus experience with LLMs and LLM APIs Ability to work with large datasets and build accurate, scalable data and ML pipelines Someone who can work directly with customers and product to understand requirements and turn them into working solutions High trajectory shown through promotions or increasing ownership If this sounds like a strong fit and you'd like to find out more about this role please apply and we'll be in touch.

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

Member of Technical Staff - Applied AI / ML Engineer San Francisco, Union Square (Onsite) • Up to $325K + stock options We're partnering with an AI startup in San Francisco that operates in the tax and accounting automation space to hire a Member of Technical Staff focused on Applied AI / ML. The company builds GenAI-driven systems that turn complex, unstructured documents into accurate, structured data at scale. They were recently acquired by a major global tech company, and this role has full end to end ownership of production ML systems. What you'll do: Building the ML and backend infrastructure that powers their core product Improving datasets, inference systems, and domain logic as they scale to millions of documents Working directly with accountants and end users to understand practical requirements Owning ML components end-to-end and integrating them into a cohesive product Translating expert-level tax and accounting knowledge into scalable software systems What we're looking for: 4+ years of ML engineering experience, focused on building production systems that deliver real end-user value Strong Python skills, plus experience with LLMs and LLM APIs Ability to work with large datasets and build accurate, scalable data and ML pipelines Someone who can work directly with customers and product to understand requirements and turn them into working solutions High trajectory shown through promotions or increasing ownership If this sounds like a strong fit and you'd like to find out more about this role please apply and we'll be in touch.