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About Vercel: Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the Role: The v0 team is a fast-moving group within Vercel focused on building the future of UI development with AI. We're working on v0.dev, a cutting-edge generative design tool that turns natural language into functional, beautiful React components using Tailwind CSS, leveraging large language models and novel research in human-AI collaboration. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: As an AI Engineer, you'll sit at the intersection of machine learning, product development, and frontend engineering. You'll work closely with product designers, ML scientists, and full-stack engineers to prototype and deploy innovative systems that redefine how developers and designers build interfaces. Your responsibilities include: Designing and developing prototypes that explore new interaction paradigms powered by LLMs. Researching and implementing state‑of‑the‑art models and prompting strategies for UI generation and code synthesis. Collaborating on building and fine‑tuning internal tools, datasets, and evaluation pipelines. Running A/B tests and user experiments to validate hypotheses and improve generation quality. Bridging the gap between research and production-bringing cutting‑edge techniques into a stable and scalable environment. About You: We're seeking a creative and practical thinker who thrives in ambiguity, loves building with AI, and has an eye for design and developer ergonomics. You may be a good fit if you have: 3+ years of experience in research engineering, applied ML, or related fields. Strong programming skills in Python and JavaScript/TypeScript. Experience working with or fine‑tuning LLMs (OpenAI, Hugging Face, etc.). A solid understanding of modern frontend technologies (React, Tailwind, etc.). Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $192,000-$288,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. #J-18808-Ljbffr

A leading automotive company in Mountain View is seeking an Early Career Machine Learning Engineer to develop cutting-edge AI systems for vehicle design and manufacturing. The role requires collaboration with senior engineers, and candidates must have a relevant PhD or Master's degree. Competitive salary range from $130,000 to $170,000, plus benefits including health programs and possible relocation assistance. #J-18808-Ljbffr

A leading smart home technology company is seeking a Senior Software Engineer to tackle complex system design challenges and enhance their platform. This remote role involves building scalable, fault-tolerant services and contributes to a collaborative and innovative team culture. Candidates should have strong coding skills in Go or Python and a solid understanding of distributed systems. A comprehensive benefits package is included, along with a competitive salary range of $150K-$250K. #J-18808-Ljbffr

A cutting-edge AI startup is seeking R&D Engineers for groundbreaking work in attention-based machine learning models. Candidates should have a strong research background and experience in model training using PyTorch or TensorFlow. This is a full-time remote position, offering competitive salary and stock options, with the potential to impact foundational AI developments. Join us to push the boundaries of AI technology and research. #J-18808-Ljbffr

A leading tech company is seeking a cloud developer to design and code scalable components for their knowledge management platform. Candidates should have a Bachelor's or relevant experience, knowledge of micro-services, cloud infrastructure, and coding skills in languages like Golang and Python. Benefits include 100% health coverage and unlimited PTO. This role offers a salary range of $140,000 to $165,000 annually, commensurate with experience. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Software Engineer for the Customer Onboarding Platform. The role involves designing and developing modern backend services, tackling technical debt, and mentoring a high-impact team. Ideal candidates have 8+ years of software engineering experience and a strong background in full-stack systems design. Competitive salary range offered is $208,000 - $285,000 USD annually, along with comprehensive benefits. #J-18808-Ljbffr

Our mission at Onton is to help people make decisions they love, instantly. We're tackling the most economically impactful decisions first: the average shopping journey takes 79 days, and we're taking that to less than 1. Since our public launch in late 2023, we've grown exponentially to guide millions of users to their perfect product. We recently built the foundation of a neurosymbolic AI agent that learns more about the world on every search. You have the chance to solve equally difficult problems as you scale Onton 10x over the next few months to serve 1B+ searches/year, which is just the beginning. This is only the beginning. Providing a person with sufficient context to make any decision in a truly optimal way amounts to creating AGI. The economic engine we're creating on the e-commerce side, while a huge opportunity in its own right, is ultimately to support this end. Paradigm shifts like the one we're in - from narrow AI to human-level AGI and beyond- are vanishingly rare. We want to offer you the chance to do your life's work solving the problem that will solve all other problems. Your opportunity Together we will create an AI agent capable of providing a person, or itself, with sufficient context to make optimal decisions as quickly as possible. This agent will ultimately be capable of superseding most things we do at Onton. Our current application of e-commerce, making an optimal purchase decision - considering user preferences, millions of products, and billions of reviews - already requires a world model and a logical consistency far beyond the state of the art. Even OpenAI's o3 can't rid itself of the problem of hallucination, and there are no sufficiently robust bolt-on solutions for context finiteness (RAG is not enough), catastrophic forgetting, or many other fundamental problems afflicting current-gen AI systems. Contra OpenAI, we believe that scale is not all you need. These challenges can only be addressed at the architectural level. Recently we've built the foundation of a neurosymbolic AI agent that learns more about the world on every search. It's still in its infancy, but its compositionally-grounded architecture shows promise as the basis of a truly general problem solver. With your ingenuity - realized through your self-directed, data-driven experiments from first principles - we can turn its sparks of intelligence into a fire. We expect you to Have significant software, ML, or research engineering experience Command a deep, principled understanding of the current state of the field of AI, especially neurosymbolic approaches. Have some experience contributing to empirical AI research projects Enjoy implementation, not just writing papers. Be excited about non-purely-statistical approaches to AI. Prefer fast-moving collaborative projects to extensive solo efforts. Quickly and iteratively ship code that is correct, robust, scalable, and maintainable. We're not optimizing for novelty, academic recognition, or theoretical purity. Recognition will come easily from the excellence of the product we build. We'd love it if you: Have a PhD or Master's in Artificial Intelligence, Computer Science, Cognitive Science, Linguistics, or comparable (or equivalent research experience). Onsite Interviews Our final round of interviews is conducted onsite at our SF office, and this role requires full-time, in-person collaboration. We believe that the best work happens when our team is together, fostering creativity, spontaneous collaboration, and strong relationships. If you're unable to attend the interviews onsite or work onsite full-time, this position may not be the right fit. We want to ensure all candidates have a clear understanding of our work environment before applying, so everyone's time is respected throughout the process. Location Our team works in hybrid, 3 days a week, in our new office in San Francisco (Jackson Square). We're offering relocation compensation as we build density in this area. We have a tenure system where, after a year, any team member can transition to a fully remote, provided they operate primarily on Pacific Time. Diversity, Equity, Inclusion, and Belonging Statement We hire talented and passionate people from diverse backgrounds to ensure our global workforce reflects our customers. Even if your experience doesn't perfectly match every requirement in the job description, we encourage you to apply. If you're a builder at heart who shares our values and is passionate about making software tools accessible to all, we want to hear from you. Onton is proud to be an equal opportunity employer. We do not discriminate in hiring or employment decisions based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other legally protected characteristics. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or an accommodation due to a disability, please contact your recruiter. #J-18808-Ljbffr

A leading AI-driven presentation tool company in San Francisco is seeking a Research Engineer to enhance the quality of AI outputs. You'll design evaluation frameworks, improve production prompts, and analyze model performance. Ideal candidates have 1-2 years of experience with AI systems and a strong attention to detail. This role is perfect for those who thrive in a collaborative environment and are passionate about leveraging AI to enhance creativity. #J-18808-Ljbffr

At Sift, we're redefining how modern machines are built, tested, and operated. Our platform gives engineers real-time observability over high-frequency telemetry-eliminating bottlenecks and enabling faster, more reliable development. Sift was born from our work at SpaceX on Dragon, Falcon, Starlink, and Starship-where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from SpaceX, Google, and Palantir, Sift is built for mission-critical systems where precision and scalability are non-negotiable. As an early engineer focused on our data infrastructure, you won't just write code-you'll define core architecture and help scale a real-time telemetry platform from the ground up. You'll work on complex backend systems designed to ingest, store, and serve millions of high-frequency data points per second, enabling faster iteration cycles for some of the most advanced engineering teams in the world. In This Role, You'll: Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs Help define engineering culture, standards, and processes Collaborate closely with peers on architecture, design, code reviews, and scaling strategies The Skillset You'll Bring: Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline 7+ years of experience in backend, infrastructure, or data engineering roles Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform Strong communication skills and a collaborative approach to problem-solving Bonus Points: Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet Experience building resilient, performant systems that scale to billions of records Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques Engineering at Sift: You'll join a tight-knit team of world-class engineers building foundational systems for next-gen machines. Technologies you'll work with may include: Frontend & Backend: Go, gRPC, PostgreSQL, Protobuf, React, TypeScript Data Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, Rust Ops & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux Location: The Sift team is based in El Segundo, CA, and we collaborate in person twice a week-Mondays and Thursdays. We work closely with LA's leading hardware companies, from autonomous vehicle manufacturers to spacecraft builders. Proximity matters for site visits and deep collaboration, so we prefer candidates local to Los Angeles. We are open to relocation and for exceptional talent we're open to remote work from the San Francisco Bay Area. Salary range: $200,000 - $250,000 per year. Plus equity and benefits. Eligibility: Due to the nature of our work, U.S. Citizenship or Green Card status is required to meet ITAR / EAR compliance requirements. #J-18808-Ljbffr

A leading crypto platform in San Francisco seeks a Staff Application Security Engineer to protect its operations and customers. This role requires expertise in application security, leading security reviews, and threat modeling. Ideal candidates will have 7-10 years of relevant experience and strong communication skills. The position offers a competitive salary range, hybrid work options, and comprehensive benefits. Join a dynamic team dedicated to reshaping the financial landscape through blockchain technology. #J-18808-Ljbffr

About the Team The web is entering a new chapter, one where digital teams and intelligent agents build, evaluate, and integrate faster than ever. We are looking for a Staff GTM Software Engineer to join our GTM team and help accelerate Netlify's mission to build the modern web - for humans and agents. This role is a force multiplier for Netlify's GTM organization, sitting at the intersection of engineering, revenue operations, and AI innovation. You'll own how GTM data and systems connect - building the foundation that enables intelligence, automation, and speed across Sales, Marketing, and Customer Success. What you create will directly accelerate revenue outcomes, unlock customer value, and shape how our platform serves the next wave of developer productivity and agent-driven applications. From connecting our tools to deploying AI-powered automations, you'll ensure our revenue stack operates as a cohesive, intelligent ecosystem. This role blends software engineering with strategic go-to-market impact, designing internal tools, AI workflows, and systems that multiply revenue team performance and deepen customer value. As our founding Staff GTM Software Engineer, you'll play a pivotal role in connecting customer needs, GTM execution, and the future of AX by helping position Netlify as the world's best platform for modern build teams and the intelligent agents that increasingly support them. What You'll Do Use your expertise in full-stack development to ship internal tools, dashboards, and workflows that unify data from sales, marketing, and product usage, enabling faster, smarter decisions and making GTM data accessible and actionable for stakeholders. Design integrations and automate workflows across Netlify's GTM systems, stitching together data flows between tools like 6sense, Clearbit, Crossbeam, HubSpot, Salesforce, Snowflake, etc. to create a single source of truth. Turn real user and GTM pain points into technical solutions that improve conversion, speed time-to-value, and guide customers through both human- and agent-driven journeys. Apply foundational engineering practices - testing, documentation, observability, and performance optimization - while pragmatically leveraging AI tools to enhance your development workflow. Partner closely with RevOps, Data, and Engineering teams to align GTM tooling with PLG strategies and company-wide intelligence. Practice proactive async communication and create visibility across projects by documenting your workflows and decision-making clearly. Systematize top GTM practices into repeatable, scalable systems that level up the entire organization. Experiment rapidly with product and platform capabilities; provide tight feedback loops to engineering and product. Bring real-time market and agent-driven adoption learnings into AX roadmap conversations and influence product priorities. Help shape the future of how revenue orgs operate in a world where builders, businesses, and autonomous agents all interact with Netlify. What You'll Bring Extensive full-stack software engineering or systems development experience, with a strong focus on backend integrations, APIs, and automation. Proficiency in TypeScript and JavaScript, with a strong track record in building and maintaining full-stack systems. Excitement around building in a zero-to-one environment and shipping high-impact internal tools that drive measurable business impact. Preferred familiarity working with GTM, CRM, or data systems (HubSpot, Salesforce, Snowflake, or similar) and connecting them through well-structured code. Interest or experience in AI-powered workflows, LLMs, or agent-driven systems, and curiosity to apply them to real business processes. Comfortable using and experimenting with AI-assisted development tools, with a sense for when and how to apply them effectively. Experience writing high-quality, testable code that's reliable and maintainable over time. Strong problem-solving mindset and an ability to translate messy data or scattered systems into elegant, maintainable solutions. Comfortable translating GTM needs into technical decisions and vice-versa - connecting data, CRM, and engagement systems like 6sense, Clearbit, HubSpot, Salesforce, LinkedIn, Gong, etc. into unified, intelligent workflows. Strong written and verbal communication skills, especially in asynchronous, remote-first environments. Motivated to explore how AI tooling and agent experience can improve GTM execution and customer experience. Critical thinking abilities and a solution-oriented approach to complex technical challenges. This Role is a Great Fit If You are based in Canada or the US, and want to work on a fully remote team that believes in autonomy, transparency, and building a better web, together. You enjoy working at the intersection of software engineering, AI, and customer experience. You're a systems builder at heart - someone who loves connecting APIs, cleaning up data chaos, and creating elegant internal tools that just work. You're motivated by enabling others: the systems you build make GTM, Marketing, and Success teams smarter, faster, and more data-informed. You thrive in ambiguity, shaping structure from scattered tools and disconnected workflows. You're energized by solving complex data and integration challenges at scale. You want to grow into a hybrid space - engineering, data, and GTM strategy - where your technical skill drives tangible business outcomes. See AI as a multiplier for your skills, not a shortcut - and can articulate where it helps, where it doesn't, and how you use it. You're excited by new tools, challenges, and opportunities to grow - even when they feel a little uncomfortable at first. Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com. About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you'd like to be part of, we're excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify's equity plan. Our approved hiring salary range for this role is targeted at $157,000 - $194,000 for most US-based locations. This role is also eligible to participate in Netlify's commission plan. Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future. #J-18808-Ljbffr

A leading crypto venture firm is seeking a Staff Frontend Engineer to build high-performance decentralized applications. This role involves designing frontend architecture, integrating smart contracts, and optimizing user experiences. Ideal candidates are passionate about crypto and familiar with modern frontend frameworks. The firm offers opportunities for remote work across its global portfolio companies. #J-18808-Ljbffr

A progressive insurance technology company in San Francisco seeks an experienced individual to spearhead the development of an AI insurance platform. This role involves building data-intensive backend systems and owning the full machine learning lifecycle. The ideal candidate has over 8 years of experience and a strong background in ML, particularly NLP. Additionally, the company values a balanced working culture and supports remote work, fostering a collaborative and innovative environment. #J-18808-Ljbffr

A leading recruiting agency is looking for a Staff Android Engineer in East Palo Alto, CA. This role involves designing and building innovative Android applications, mentoring peers, and collaborating in a hybrid environment. Candidates should have over 6 years of experience with Kotlin and a track record in mobile systems. Offers competitive salary, health benefits, and additional perks for a diverse workforce. #J-18808-Ljbffr

Lexsy is an AI-native law firm building predictive legal intelligence. We create agentic systems that continuously monitor a company's data, identify legal events, propose actions, and execute them - with lawyers in the loop. Our platform already supports high-growth startups (including companies now valued at $500M+), and we're scaling toward a multi-agent architecture spanning workflows, validation, supervision, and real-time triggers across Slack, HR systems, cap tables, data rooms, and financial tools. This is a foundational technical leadership role. As Lexsy's Staff Engineer, you will own core architectural decisions, lead complex execution, and set the technical standard for how we build AI-powered legal systems. You won't be handed tickets. You'll be trusted to define solutions. What you'll be responsible for: 1. End-to-end problem ownership For any technical problem, you're expected to independently determine: The right technical approach Whether AI is appropriate - or not Architecture and tooling choices Scope, timelines, and team allocation Risks, edge cases, and trade-offs Your decisions should reflect deep technical judgment and experience operating in ambiguous, high-stakes environments. 2. AI judgment & discretion Not everything should be solved with LLMs - and knowing the difference matters. You will: Partner with product to decide when AI adds value vs. when deterministic systems are safer Anticipate and mitigate common LLM failure modes (hallucinations, brittleness, edge cases) Apply industry-standard patterns for reliability, validation, and human-in-the-loop systems 3. Engineering leadership & execution You'll lead major initiatives and guide engineers through them. This includes: Working closely with junior engineers, product leads, and legal domain experts Translating legal workflows into scalable, maintainable systems Setting and enforcing high standards for code quality, architecture, and documentation Making decisions independently - without needing constant oversight 4. Ship fast, without cutting corners We value speed, but not chaos. You'll operate with: Rapid prototyping using LLMs and agents Tight execution cycles and fast feedback loops A strong bias toward shipping - while protecting system integrity and long-term maintainability What you'll build in your first 90 days Automated legal workflows (e.g., generating documents for a company's first priced Series Seed round) API integrations with platforms like Slack, Carta, and internal data sources Event-driven systems and scrapers to detect real-time legal signals (e.g., copyright violations) What we're looking for Core Requirements 5-8+ years of professional software engineering experience 1+ year hands-on building with LLMs (OpenAI, Anthropic, Hugging Face ecosystem) Strong systems design and architectural thinking Experience deploying and scaling systems on AWS or similar cloud platforms High code quality standards; ability to design APIs and interfaces others can build on Experience mentoring or managing junior engineers Comfort operating in fast-moving startup environments Nice to have Experience with legal or compliance-driven workflows Integrations with HR systems, billing, cap tables, or data rooms Availability in US or Canada time zones How you operate We care as much about how you think as what you build. You likely: Have strong technical judgment Thrive in ambiguity and incomplete information Create clarity for others Take full ownership of outcomes, not just tasks What we offer: Full-time job (8 working hours per day, Monday-Friday). Please note that we will not consider candidates planning to combine this job with another one. Remote work. You may be located in almost any country, just need a good Internet connection, a powerful computer to work from, and the opportunity to adjust your working schedule for the team (from 9 am to 5 pm New York time). Innovative environment. Work with business leaders building cutting-edge AI solutions in a high-growth market. Stability. This is not project work, we consider only the candidates looking for a long-term commitment of 2+ years. Salary will be discussed during the interview. Paid in USD. Application deadline: ASAP Hire5 provides aspiring talents worldwide with remote opportunities to enhance their careers in Silicon Valley startups and other US-based companies. Interested in joining one of the most promising US startups? Press here to apply now or click 'connect' on career.hire5.co to subscribe for future opportunities in your desired profession! #J-18808-Ljbffr

A leading AI healthcare company in San Francisco seeks a Staff Software Engineer to design and build core infrastructure for healthcare providers. The role includes setting foundations for observability and reliability in an AI platform, requiring over 5 years of engineering experience and proficiency in modern stacks like AWS and Docker. This position offers competitive compensation and a hybrid working model. #J-18808-Ljbffr

A future-focused healthcare AI company in San Francisco is seeking a Staff Machine Learning Engineer to architect and maintain their machine learning infrastructure. In this role, you will develop cloud-native services and support advanced AI research to improve clinical outcomes. Ideal candidates should have 8+ years in ML Engineering, with strong Python skills and experience in cloud-native environments. This position also offers flexible working arrangements within a supportive team environment. Your contributions will have a meaningful impact on patient care. #J-18808-Ljbffr

A dynamic tech startup in San Francisco is seeking an experienced staff-level software engineer to join their front-end development team. This role involves leading best practices and developing a world-class team. Candidates should have 6+ years of front-end web development experience, particularly with Typescript and React. The position offers a competitive salary of $180,000 - $220,000 with equity options and flexible work conditions. #J-18808-Ljbffr

A leading healthcare AI startup is seeking a Senior Backend Engineer to develop backend services and build innovative Generative AI workflows that enhance patient care. You'll work with advanced technologies like FastAPI and MongoDB, improving the architecture while mentoring junior developers. The company offers exceptional health benefits, flexible PTO, and the chance to make a meaningful impact in healthcare. Both in-person and remote opportunities are available. #J-18808-Ljbffr