Programming engineer work from home jobs - 1412 jobs

A leading consulting platform company based in San Francisco is seeking a creative Product Engineer. This role involves building impactful user-facing features and collaborating across teams to deliver scalable solutions. Candidates should have at least 3 years of software engineering experience, a track record of creating high-quality products, and a passion for solving complex problems. This company offers competitive salaries and a flexible work environment, aiming to foster a diverse and inclusive workplace. #J-18808-Ljbffr

🚀 WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We're a fully distributed team with employees across North American time zones. We're well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others. About the role 💭 The Vault team is responsible for building and scaling WorkOS Vault, our developer-friendly encryption key management and secret storage product. Vault enables applications to encrypt, segment, and optionally store highly sensitive data-tokens, passwords, certificates, PII, API keys, files-backed by enterprise-grade encryption and key management infrastructure. The vision for Vault is to make cryptography simple and fast, and the product currently serves tens of millions of encryption requests each day. On this team you'll work on building reliable, high-throughput systems, defining new abstractions for developer-friendly encryption, and crafting APIs that both scale and stay simple. We're looking for Engineers to join this team that are motivated by solving deep security and infrastructure problems, owning high-impact systems end-to-end, and working closely with customers to deliver robust products, Responsibilities ✔️ Architect and implement systems for real-time encryption, secure storage, key-rotation, and data revocation across multi-tenant applications Build deep domain expertise around encryption key management (EKM), envelope encryption, BYOK (Bring Your Own Key), and context-based key isolation Work closely with enterprise customers to understand their compliance, key control, and security requirements-and translate that into features (e.g., key segmentation, audit logs, cryptographic deletion) <> Collaborate cross-functionally with other product teams (e.g., AuthKit, Radar), solutions engineering, and GTM to ensure Vault integrates seamlessly into the broader platform On greenfield opportunities: explore new features such as field-level encryption, e2e encryption, broader HSM integrations, client-side SDK enhancements Help recruit, mentor, and grow the engineering team around Vault's roadmap Qualifications 🌟 5+ years of industry software development experience Experience working on small teams in fast-paced environments Background in building systems that solve for security, encryption, storage, multi-tenant data isolation, or large-scale data platforms Intellectually curious, independently driven, and passionate about great products A growth mindset, high emotional intelligence, and strong communication skills Bonus: Experience with our stack of TypeScript, React, and Postgres Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements. Competitive pay Substantial equity grants Healthcare insurance (Medical, Dental and Vision) for you and your family 401k matching Wellness and fitness monthly allowances PTO + paid holidays + unlimited sick leave Autonomy and flexibility with remote work Please inquire directly with our recruiting team for benefits available to those working outside the US. Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.About the client : Title of Role: Machine Learning Engineer Location: San Francisco, CA Company Stage of Funding: Series A Office Type: Onsite (5 Days a Week) Salary: $140,000 - $240,000 + Equity (0.2% - 0.8%) Company Description We are partnering with a rapidly growing Series A healthcare AI company that's transforming how medical systems operate. Backed by premier investors including YC and General Catalyst, the company has raised $14M and is solving some of the most complex operational challenges in American healthcare using cutting-edge AI. Their flagship platform streamlines prior authorization workflows by analyzing EHR data, accelerating patient access to care, and improving provider revenue. Despite being early-stage, the company has already signed enterprise contracts with major U.S. health systems and is scaling quickly. They are looking for mission-driven engineers who are eager to make a meaningful impact in healthcare using modern machine learning and language models. What You Will Do Design and develop LLM-powered pipelines to process various medical documents, including handwritten clinical notes. Build production-ready question-answering systems that extract actionable insights from structured and unstructured patient data. Create ML solutions that automate integrations between EHR platforms and other healthcare infrastructure systems. Own ML features from research and experimentation to scalable deployment in real-world healthcare environments. Collaborate cross-functionally with the product and engineering teams to align machine learning solutions with business goals. Continuously iterate on and improve ML models, pipelines, and infrastructure to ensure performance and scalability. Ideal Candidate Background 5+ years of hands-on experience building and deploying production-grade machine learning systems. Strong expertise in training and fine-tuning large language models (LLMs), beyond basic API use. Deep understanding of ML frameworks such as PyTorch and TensorFlow. Proven success in roles at companies with mature ML environments (e.g., FAANG, AI startups, or top-tier ML-focused orgs). Prior work in document processing, information extraction, or question-answering systems. Preferred MS or PhD in Computer Science or a related STEM discipline, or equivalent industry research and production experience. Exposure to fast-paced startup environments with small, collaborative teams. Contributions to ML research or publications are a plus, but not required. Experience in healthcare tech or working with EHR data is a bonus. Compensation and Benefits Base Salary: $140,000 - $240,000 Equity: 0.2% - 0.8% stock options Visa Sponsorship: H1B transfers supported Work Schedule: Full onsite presence (5 days/week), working west coast hours Additional Perks: Join a tight-knit engineering team of 11, with high-impact ownership and the opportunity to help shape the future of healthcare AI from the ground up. #J-18808-Ljbffr

A cutting-edge legal AI startup is seeking a Principal Engineer to lead the development of a production-ready AI platform for venture capital legal workflows. This role involves full-stack feature design using TypeScript, Node.js, and React while building robust pipelines for legal document processing. The ideal candidate has over 8 years of experience, showcasing a full-stack mindset and practical experience with AI integrations. This position offers a competitive salary and the flexibility of remote work. #J-18808-Ljbffr

A data-focused technology company is looking for a Product Engineer to enhance their platform and support data solutions. The role, which offers remote work flexibility across the United States, demands proficiency in Python and TypeScript. Ideal candidates will have over 3 years of experience and strong communication skills. The estimated salary is between $165,000 to $210,000, along with equity and benefits. #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position We are looking for a user-focused front-end engineer to join our Lending Products team in San Francisco. In this role, you will help build intuitive and seamless user interfaces that will power the suite of Parafin's financial offerings. The Lending Products team is responsible for crafting the user journey for all of Parafin's financing products. You will collaborate with stakeholders across the company to launch new features and regularly experiment with existing ones to enhance the end-user experience. You will contribute to the development of our core web infrastructure and play a key role in identifying, prioritizing, and implementing frontend improvements that accelerate product development and ensure a high-quality user experience. Responsibilities You will fully own our customer facing web product and drive its development You will help define the product architecture all the way from the technologies we use to design principles that we apply You will frequently talk to our customers to understand their needs and define the product experience You will work closely with our product designers and ensure a high quality bar for our products You will help scale the Parafin team by hiring exceptional talent Requirements 6+ years of experience working in a web engineering role You care deeply about building high quality software and take immense pride in your craft. You are comfortable owning and driving the development of the product from 0 to 1. You have a strong grasp of engineering fundamentals. You have experience working with Javascript, Typescript, Next.js, React, or other similar technologies. You have a strong understanding of functional and reactive programming paradigms. You are excited about working on a small team and helping us set the foundations for the company. What We Offer Salary Range: $235k - $300k Equity grant Medical, dental & vision insurance Unlimited PTO & work from home flexibility Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. About the role We're looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of building scaled, performant features and systems that deliver exceptionally innovative AI product experiences. At Lightfield, engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what's possible in applied AI systems development. You'll work alongside a talented team to deliver industry-leading solutions and contribute to Lightfield product and technical vision. What you'll do Collaborate with product leaders to identify customer problems, scope requirements, and implement solutions. Build and maintain full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance. Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement. Mentor teammates, participate in code reviews, and help shape engineering culture and practices. Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing. Who you are 3+ years of experience in software development, with a strong background in both front-end and back-end technologies. Experience building scalable, high-performance systems that can support complex customer workflows and large-scale data processing. You're excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them. You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL. Strong fundamentals in software engineering, with a degree in Computer Science or a related field. Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment. Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.> Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable. Benefits & Perks Competitive salary Meaningful early equity Health insurance (medical, dental, vision) 3 weeks of PTO 11 paid company holidays + we enjoy a winter holiday break 3 months of paid family leave Wednesdays work from home Regular team dinners, events, offsites, and retreats 401k plan Other perks include: commuter and lunch stipend #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

Anzen was founded by former insurance and tech executives who've collectively scaled three unicorns. Backed by leading investors like Andreessen Horowitz (a16z) and Madrona, we're on a mission to transform how companies choose and understand commercial insurance using AI. Commercial insurance today runs on emails, PDFs, and lengthy underwriting cycles - often taking weeks to secure coverage. Anzen is building the world's first AI insurance platform for brokers, radically improving how they manage submissions, select markets, and generate quotes for their clients. We've built a team from top universities, with experience scaling products at Google, Uber, Lyft, Oracle, and startups founded by the best investors in the world, and are continuing to scale our team in Mexico, Canada, and the United States. You will build our core technology to ensure it can scale to hundreds of millions of dollars in insurance policies and use ML to help insurance underwriters be 5-10x more effective. Responsibilities Partner with Design & Product to translate fuzzy broker pain points into concrete, AI capabilities that perform equally or better than human experts. Own the full ML lifecycle from framing business problems into research problems, evaluating results and rolling them out with the appropriate infrastructure. Architect production‑grade systems that marry real‑time inference with human‑in‑the‑loop review and comply with strict privacy & audit requirements. Elevate engineering quality, driving technical roadmaps and championing best practices. Mentor our Engineering team and help define Engineering culture at Anzen. What we're looking for 8+ years building data‑intensive or ML‑driven backend systems. Production mindset: you've shipped business critical models with measurable business impact (latency, cost, ROI). Broad ML toolbox, from classic ML (especially NLP) to GenAI. Strong backend fundamentals: distributed systems, streaming data pipelines. Fluency in Python and/or TypeScript in a production environment. Startup DNA: thrive in ambiguity, bias to action. $200,000 - $230,000 a year Why Join Anzen: Come join us in reinventing the future of insurance. Work with advanced technologies in a rapidly growing industry. Opportunities for professional development and career advancement. A collaborative and innovative company culture focused on excellence and integrity. Be part of a company that values proactive risk management and cutting‑edge solutions. Company Culture: Anzen believes the world of work is fundamentally different in the new post‑Covid environment. We are committed to supporting a diverse and hard working team that puts in the necessary time but also desires balance between health, family, and work. We fully embrace remote work lifestyles while centering our weeks around Pacific Standard Time (PST) with a general orientation to San Francisco as the geographic HQ. #J-18808-Ljbffr

About Plural: The assets that produce, store, and consume electrons will define the next era of the economy. But today, financing these assets is slow, expensive, and fragmented-locked behind legacy intermediaries and limited access. Plural is passionately building the infrastructure to change that. We tokenize everything from solar projects to batteries to bitcoin mines, using smart contracts and programmable workflows to reduce friction and open access to capital. On Plural, the nodes of a distributed grid are financed by a network of institutional, individual, and DeFi investors. This approach lowers costs, increases transparency, and enables scalable capital formation for the energy transition-trusted, composable, and built for efficiency. The Opportunity: Plural is seeking an experienced UI / Product Engineer. You will: Build and maintain our existing Next.js Typescript React codebase to push out new features and slicken the UX. Optimize the UX to provide best in class experiences for both Institutional and DeFi users. DApp development-build and maintain UI components that connect to EVM-based smart contracts. Stay current with emerging technologies and industry trends to ensure our system remains cutting-edge. Qualifications: Required 4+ years of professional experience with TypeScript and React. 2+ years of experience developing TypeScript-based dApps. UX design experience with a strong eye for user-centric design. Power user of AI development tools like cursor and demonstrated ability to vibe code MVPs quickly Hungry, driven self-starter with demonstrated track record of high agency and attention to detail Bonus: Experience at an exchange or DeFi company Experience with Next.js, Django, python What We Offer: Competitive salary and equity options Thoughtful technical and soft skill mentorship from experienced leaders Innovative Culture-we are a supportive and collaborative team pushing the boundaries of finance with blockchain. Apply: If you have what it takes, send your resume and a snippet about yourself to ************************* with subject line "Lead Product Engineer - [Your Name]"! #J-18808-Ljbffr

We're building the creative layer for modern communication. Every month, over a billion people make presentations - but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market. 📈 Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day. 💻 We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste. 💸 We've reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023. 💙 We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity. About the role You'll own the quality of AI across everything Gamma creates. As our Research Engineer, you'll design evaluation frameworks that measure AI output quality, systematically improve production prompts, and fine‑tune models to ensure millions of users get exceptional results every time they generate content with Gamma. This role sits at the intersection of research rigor and product impact. You'll diagnose failure patterns in AI‑generated presentations, docs, and websites, then craft targeted improvements through iterative experimentation. You'll build the tools and workflows that enable rapid testing, validate changes against quality benchmarks, and ensure our AI gets smarter with every iteration. If you're obsessed with output quality and love the challenge of making AI systems work beautifully at scale, this is your role. You'll succeed here if you combine deep technical expertise with a research‑oriented mindset. You need to be comfortable working in ambiguity, designing experiments that reveal model behavior, and iterating toward solutions that measurably improve quality. Exceptional attention to detail is essential, as is the ability to care about dimensions of quality that others might overlook. Our team has a strong in‑office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do Design and maintain evaluation frameworks that measure AI output quality across all Gamma experiences, developing metrics and benchmarks to assess model performance. Systematically improve production prompts through iterative experimentation-diagnosing failure patterns, crafting targeted improvements, and validating against quality benchmarks. Conduct rigorous experiments to understand model behavior, analyze results, and derive insights that inform prompt and model improvements. Build tools and workflows to support rapid experimentation and quality analysis, enabling faster iteration on AI improvements. Fine‑tune models on targeted datasets to improve baseline performance, preventing issues like poor layout choices or low‑quality outlines. Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale. What you'll bring 1-2+ years working with AI systems with demonstrated experience shipping production‑grade AI products. Deep hands‑on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs. Strong experimental mindset with ability to design tests, analyze model performance, and iterate toward quality improvements. Experience with post‑training techniques for LLMs including reinforcement learning and supervised fine‑tuning. Research‑oriented approach to problem‑solving with comfort working in ambiguity and exploring novel solutions to AI quality challenges. Exceptional attention to detail and quality obsession-cares deeply about output quality across all dimensions, including less visible aspects. Bachelor's degree in Computer Science, Machine Learning, or related field, or equivalent hands‑on experience with AI research and experimentation (Nice to have). Compensation range Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people. We're building on a full Typescript stack centered around some of the most modern and popular technologies. We use our own custom, open‑source AI prompting framework, AIJSX. We have a lot of custom tools built in house, but also new ones like Vercel AI SDK. Our tiny team operates at massive scale: 1M+ 70M users around the world 6M+ AI images generated daily 1 trillion LLM tokens processed per month Life at Gamma You get energy from small teams doing big things. You love when design, code, and storytelling overlap. You default to action, even when the answer isn't clear yet. You value details, but know when to ship and move on. You bring both the spreadsheets and the sparkle, equal parts workhorse and unicorn. You believe AI should amplify creativity, not replace it. You know kindness and intensity are not opposites. You like working with people who care deeply: about their craft, their teammates, and the users on the other side of the screen. Who we are Gamma is full of imaginative, passionate people who take their work seriously but not themselves. The culture is warm, a little quirky, and fueled by curiosity. It's the kind of place where you'll debate a pixel on Monday, laugh over someone's keyboard setup on Tuesday, and ship something remarkable by Friday. We care about craft, move with intention, and don't mind getting a little scrappy. It's fast, creative, and occasionally chaotic - but that's what makes it interesting. Here's a bit about what it's like to work here, from people on the inside: We asked the team what makes Gamma, Gamma. Here were some of their answers: "quirky, inspiring, fun, a little wild in the best way" "You can have an idea and just run with it." "Everyone's talented and humble - the mix keeps you sharp." "We ship cool stuff, learn a ton, and laugh a lot doing it." Meet the team We're a team of dreamers and doers building in beautiful San Francisco 🌉 We're kabbadi enthusiasts, pickleballers, dog herders, woodworkers, keyboard nerds, potters, and more - and we can't wait to meet you! #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 leading engineering firm in California is seeking a mid-level Traffic Engineer to manage traffic engineering projects for public infrastructure and private development. Responsibilities include designing traffic systems, mentoring junior staff, and participating in client meetings. Ideal candidates should have a Bachelor's degree in Civil or Electrical Engineering, 3+ years of relevant experience, and proficiency in AutoCAD and MicroStation. Competitive salary range is $100,000 - $145,000, along with a comprehensive benefits package. #J-18808-Ljbffr

A venture capital firm in the crypto space is looking for a Senior Staff Engineer to lead architecture and implementation of innovative systems. Ideal candidates have over 7 years of software engineering experience, particularly in crypto-native technologies and a strong ability to thrive in a fast-paced environment. Responsibilities include mentoring engineers, building scalable platforms, and driving technical strategies across innovative projects. This role offers a flexible remote work environment with potential matches to various portfolio companies. #J-18808-Ljbffr

Join us in shaping the future of finance for technology companies We're a team of builders, operators, and problem-solvers reimagining how businesses manage and grow their capital. At Arc, we're developing intelligent cash management accounts, capital markets access, and CFO-grade AI features that help companies make faster, smarter financial decisions. Our customers are startups driving technology innovation across dozens of industry verticals. This inspires us to build financial products that enable our customers to scale faster, on their terms, and without restriction. We deeply embed ourselves in our customers' missions, which keeps us relentlessly focused on our own: helping startups grow. FEEDBACK IS THE ACCELERANT TO OUR GROWTH 360 degree feedback is core to our culture. Our Arc-itects practice radical candor and don't shy away from difficult conversations. We also focus equally on celebrating our wins and making sure we celebrate the unique strengths of our teammates. WE WORK HARD AND HAVE FUN TOO We host dozens of events each year - it's been part of our culture since day one. These gatherings include company-wide happy hours, new-hire onboarding meet-n-greets, offsite team-bonding activities, and annual company-wide retreats. At Arc, we work hard and have fun too. Ourvalues These values guide how we work together 1 OPERATE AS AN OWNER Bring an ownership mentality to everything you do. Always strive for excellence. Be an Arc-itect others can trust and count on. 2 WIN WITH OUR CUSTOMERS Become customer-obsessed. Go out of your way to help customers in any way you can. When our customers win, we win. 3 THINK BIG We're disrupting a multi-trillion dollar financial services industry. Find the fast moving waters and don't be afraid to change course. Thrive in ambiguity and seek disruption. Take big swings. Benefits of becoming an Arc-itect Perks and benefits to help you do your best work. MEANINGFUL IMPACT As an early employee, you'll influence key strategic decisions, shape the culture, and play a major role in our success. We are flat and lean, so you'll have the opportunity to contribute to every facet of the business. COVERAGE WHERE IT COUNTS You'll have access to best-in-class medical, dental, and vision coverage and a monthly health and wellness stipend from day one. Mental health resources, learning & development stipends, and more are coming soon. MAXIMIZE YOUR MONEY Arc takes pride in benchmarking comp. packages (salary & equity) to the highest-paid talent-pools in the U.S. REST AND RECHARGE We all perform our best when we feel our best, that's why all Arc-itects receive unlimited PTO, paid holidays, flexible remote work options, and paid parental leave. INCLUSIVITY AT OUR CORE We currently provide dedicated funding for our affinity-groups and their hosted-events, and we offer bi-weekly volunteering opportunities. We plan to partner with local organizations and build out our suite of employee perks and benefits as we develop and mature as an organization. COMMITMENT TO THE COMMUNITY We recently took the Conscious Culture Pledge. Being a conscious company means that we consciously take action to foster an inclusive and diverse workplace. It starts with our hiring practices, and continues throughout our evolving benefits package. OpenrolesDon't see the perfectrole? Reach out to us! We're always looking to bring aboard people who are curious, action-oriented and passionate about leveling the playing field for startups. #J-18808-Ljbffr

A global energy solutions leader is seeking an Application Engineer to work remotely, focusing on data center infrastructure. This role demands collaboration with stakeholders, technical solution development, and project coordination. Ideal candidates will possess a Bachelor's degree in Electrical or Mechanical Engineering and have a minimum of 5 years of experience in data centers. You will support sales teams and improve customer satisfaction through innovative solutions. Join a diverse team dedicated to making a difference in energy technology. #J-18808-Ljbffr

Employment Type Part Time / Contract About BigRio BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions. About the Role BigRio is seeking a highly skilled Generative AI Engineer with expert-level experience in LLMs, OpenAI APIs, prompt engineering, and retrieval-augmented generation (RAG). This is a senior, hands-on role-ideal for someone who has already mastered these technologies and is ready to deliver production-ready solutions. This is not a learning-on-the-job position. You will work with our internal team and clients to design, build, and optimize AI-powered applications with high-performance standards and robust infrastructure integration. Design and implement LLM-driven features using OpenAI API (including reasoning vs. non-reasoning models, model versioning, temperature settings, and best practices). Apply advanced prompt engineering and model tuning techniques to drive performance and accuracy. Build retrieval-augmented generation (RAG) systems using Langchain and ChromaDB. Develop interactive AI tools and UIs using Gradio. Ensure seamless SSO integration and secure access controls. Connect and automate data pipelines including Google Drive integration. Write clean, maintainable code in Python, and contribute to a collaborative, agile development environment. Required Qualifications 3-5+ years of experience in AI/ML development, with proven, expert-level hands-on work in LLMs and Generative AI. Mastery of the OpenAI API, including reasoning capabilities, temperature control, and fine-tuning parameters. Deep experience with prompt engineering and AI response optimization. Production-level experience with Langchain, ChromaDB, and RAG architectures. Proficiency with Gradio for front-end prototyping. Experience with Docker, SSO, and cloud API integrations (e.g., Google Drive). Strong problem-solving and communication skills. Comfortable working independently and collaborating across time zones. Nice to Have Experience with other vector databases and frameworks. Familiarity with MLOps or AI infrastructure tooling. Previous experience in healthcare, biotech, or highly regulated domains. Equal Opportunity Statement BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment. #J-18808-Ljbffr

Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the EVM for the Avalanche blockchain and its ecosystem. WHAT YOU WILL DO Maintain and advance Avalanche's EVM-compatible chains. Design and implement paradigm-shifting extensions on top of vanilla EVMs, without breaking ecosystem compatibility. Here are some specific examples of projects you will contribute to: libevm (repo): the EVM as a library; a backwards-compatible fork of geth with injectable configuration directives to minimise merge conflicts. Streaming Asynchronous Execution (spec / talk / repo): decoupled consensus and execution, allowing for always-on, concurrent execution without forced dormancy. WHAT MAKES YOU A GOOD FIT A self-starter with insatiable curiosity, combined with being comfortable diving into someone else's code to understand. Please mention the word GLEEFUL and tag RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA== when applying to show you read the job post completely (#RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job web3 code engineer engineering #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