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About GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. About the RoleGoodLeap is building AI agents to empower professionals in the trades industries and homeowners to adopt sustainable solutions. As a Principal Software Engineer – AI Agents, you will play a critical and strategic role in shaping our next generation of intelligent, conversational, and task-driven products.This is a hands-on technical leadership role—you will architect, build, and deliver production-grade AI agent capabilities across our software ecosystem, while also setting the long-term technical direction and engaging in R&D-style innovation. You will work closely with product, design, and other engineering teams to ensure our AI solutions are reliable, scalable, and truly impactful for our customers.We are looking for someone who thrives in environments where deep technical expertise, strategic thinking, and execution excellence intersect. • Lead the design, architecture, and development of AI agent platforms and tools, including multi-modal interactions, multi-agent orchestration, memory systems, long running tasks, and other agentic AI fundamentals., • Set technical direction for AI-powered systems, balancing near-term delivery with long-term scalability and maintainability., • Partner with cross-functional leaders to identify high-impact opportunities for AI agent integration across products and workflows., • Build backend services and APIs (primarily in Python with FastAPI) to support agent orchestration, memory, and secure tool access., • Develop and integrate vector databases, embeddings, and semantic search capabilities to enhance agent intelligence., • Drive technical excellence in system performance, reliability, observability, and security., • Mentor engineers across teams, fostering growth in AI, backend architecture, and software craftsmanship., • Conduct hands-on prototyping and R&D to explore new AI capabilities and frameworks, validating technical feasibility and product fit., • 5+ years of professional software engineering experience, including designing and delivering production systems at scale., • 1+ years of experience working with LLMs or building and deploying machine learning models., • Proven technical leadership in driving architecture, guiding teams, and delivering complex projects end-to-end., • Strong backend development experience in Python (FastAPI strongly preferred)., • Experience integrating with LLM APIs (e.g., OpenAI, Claude, AWS Bedrock, Vertex AI), vector databases, and RAG pipelines., • Familiarity with MCP and multi-agent frameworks., • Deep understanding of system design, distributed systems, and architectural trade-offs., • Excellent communication skills, able to convey complex technical ideas to diverse stakeholders., • Experience building production AI agents or agent frameworks., • Familiarity with AWS services for scalable backend deployment, • Experience with AI observability, MLOps, and CI/CD for AI pipelines., • Collaborative and mentoring mindset, helping others level up technically., • Strong problem-solving ability—able to break down complexity into actionable steps.

About GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. About the RoleGoodLeap is building AI agents to empower professionals in the trades industries and homeowners to adopt sustainable solutions. As a Principal Software Engineer – AI Agents, you will play a critical and strategic role in shaping our next generation of intelligent, conversational, and task-driven products.This is a hands-on technical leadership role—you will architect, build, and deliver production-grade AI agent capabilities across our software ecosystem, while also setting the long-term technical direction and engaging in R&D-style innovation. You will work closely with product, design, and other engineering teams to ensure our AI solutions are reliable, scalable, and truly impactful for our customers.We are looking for someone who thrives in environments where deep technical expertise, strategic thinking, and execution excellence intersect. • Lead the design, architecture, and development of AI agent platforms and tools, including multi-modal interactions, multi-agent orchestration, memory systems, long running tasks, and other agentic AI fundamentals., • Set technical direction for AI-powered systems, balancing near-term delivery with long-term scalability and maintainability., • Partner with cross-functional leaders to identify high-impact opportunities for AI agent integration across products and workflows., • Build backend services and APIs (primarily in Python with FastAPI) to support agent orchestration, memory, and secure tool access., • Develop and integrate vector databases, embeddings, and semantic search capabilities to enhance agent intelligence., • Drive technical excellence in system performance, reliability, observability, and security., • Mentor engineers across teams, fostering growth in AI, backend architecture, and software craftsmanship., • Conduct hands-on prototyping and R&D to explore new AI capabilities and frameworks, validating technical feasibility and product fit., • 10+ years of professional software engineering experience, including designing and delivering production systems at scale., • 1+ years of experience working with LLMs or building and deploying machine learning models., • Proven technical leadership in driving architecture, guiding teams, and delivering complex projects end-to-end., • Strong backend development experience in Python (FastAPI strongly preferred)., • Experience integrating with LLM APIs (e.g., OpenAI, Claude, AWS Bedrock, Vertex AI), vector databases, and RAG pipelines., • Familiarity with MCP and multi-agent frameworks., • Deep understanding of system design, distributed systems, and architectural trade-offs., • Excellent communication skills, able to convey complex technical ideas to diverse stakeholders., • Experience building production AI agents or agent frameworks., • Familiarity with AWS services for scalable backend deployment, • Experience with AI observability, MLOps, and CI/CD for AI pipelines., • Collaborative and mentoring mindset, helping others level up technically., • Strong problem-solving ability—able to break down complexity into actionable steps.

Changing Healthcare For Good At Angle Health, we believe the healthcare system should be accessible, transparent, and easy to navigate. As a digital-first, data-driven health plan, we are replacing legacy systems with modern infrastructure to deliver our members the care they need when they need it. If you want to build the future of healthcare, we'd love for you to join us. The Role As an early engineer at Angle, you'll play a key role in architecting and scaling the core backend infrastructure that powers our healthcare platform. This is an opportunity to build systems from the ground up—designing APIs, structuring data models, and optimizing performance to support a high-growth company. You'll work closely with product owners, designers, and other engineers to bring new features to life, ensuring our systems are both scalable and reliable. From architecting backend services to debugging performance bottlenecks, you’ll have full ownership of the product lifecycle—shaping everything from system design to implementation. This role is perfect for engineers who love tackling complex problems in a fast-paced environment, enjoy working with cross-functional teams, and want to see their work directly impact the future of healthcare. If you're excited by the challenge of building high-performance backend systems at scale, we'd love to have you on board. This position is remote within the US. Core Responsibilities * Work directly with the Head of R&D in architecting and building Angle's backend infrastructure * Work with product owners & designers to build a scalable implementation process across multiple web products * Support the entire application lifecycle, including concept, design, test, release, and support phases * Build optimal backend applications that are performant at scale * Work together with the product leadership to plan new features * Oversee the compliance of applications with established quality standards What We Value * 4+ years software engineering experience * Strong understanding of business context and a desire to connect engineering solutions to real-world problems, driving impactful outcomes for the company and its users * Strong engineering background in technical fields such as Computer Science, Mathematics, Software Engineering, and Physics * Familiarity with data structures, CI/CD, software development lifecycles, backend frameworks, and other technical tools * Demonstrated proficiency in Python and Django, experience with Java is a plus * Demonstrated ability to learn and work independently and make decisions with minimal supervision * A desire to be part of the journey to change the face of healthcare * Inspire your colleagues with your thirst for mastering the things you work with * Are a passionate developer, proud of the quality of your work The salary range for this job opportunity is $100,000 to $240,000 per year, which is the amount Angle Health anticipates paying for this position at the time of this job posting. The actual base salary offered may differ and will depend on various factors such as geographic location, skills, qualifications, and experience, as well as internal equity. Because We Value You: * Competitive compensation and stock options * 100% company-paid health, vision, and dental insurance — for you and your dependents * Supplemental Life, AD&D, and Short-Term Disability coverage options * Discretionary time off — take the time you need, when you need it * Opportunity for rapid career progression * 3 months of paid parental leave, plus a flexible return-to-work policy (after 12 months of employment) * Equinox membership, Monthly MetroCard, and Annual Citi Bike coverage for NYC office employees * 401(k) retirement savings plan * Company-provided lunch and dinner for in-office employees * More exciting benefits coming soon! Backed by a team of world class investors, we are a healthcare startup on a mission to make our health system more effective, accessible, and affordable to everyone. From running large hospitals and health plans to serving on federal healthcare advisory boards to solving the world's hardest problems at Palantir, our team has done it all. As part of this core group at Angle Health, you will have the right balance of support and autonomy to grow both personally and professionally and the opportunity to own large parts of the business and scale with the company. Angle Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Angle Health is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Cardless is looking for an experienced backend engineer to join our exceptional team! You’ll play a key role in designing, building, and scaling the systems that power our co-branded credit card platform spanning domains like applications, accounts, transactions, fraud, risk, and rewards. As a software engineer, your responsibilities will include but not be limited to the following: * Design and build scalable, secure, and high-performance backend systems and services that support Cardless’s core financial products * Contribute to architectural discussions and decisions to evolve our platform as we grow * Take ownership of projects from design through production — including requirements gathering, implementation, testing, deployment, and ongoing maintenance * Collaborate cross-functionally with product managers, designers, other engineers, and stakeholders (external partners, risk, compliance) to deliver high-quality features quickly and reliably * Identify and drive improvements in system reliability, observability, performance, and developer experience * Provide technical guidance and thought partnership to peers across the engineering organization * Strong experience designing and implementing backend systems and services that operate at scale (typically 5+ years of industry experience) * Solid understanding of distributed systems, APIs, databases, and infrastructure fundamentals * Proficiency with a modern backend language (e.g. Java, Python) and ecosystem * Track record of delivering complex technical projects end-to-end, collaborating effectively with cross-functional partners * Deep, low-level expertise in one or more backend domains (e.g., databases, scaling systems, distributed systems) * Passion for building robust, maintainable systems that have real-world impact for customers * Experience building and maintaining external, public-facing APIs * Familiarity with financial systems, reconciliation workflows, or data integrity challenges * Exposure to ML pipelines or feature stores You’ll join a collaborative, fast-moving team that values craftsmanship, curiosity, and impact. We’re building products that enable leading brands to offer credit in new ways — and we’re just getting started. Note: This role is open to experienced (senior/staff+) engineers only This role has an annual starting salary range of $165,000-$260,000 + equity + benefits (see above). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location. Benefits We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits: 💸 Meaningful Start-up equity 🏥 100% health, vision & dental primary coverage ➕ 75% health, vision & dental dependent coverage 🍱 Catered lunches 🚎 $250/month Commuter benefit 👶 Parental leave ✈️ Team building events & happy hours 🌴 Flexible PTO with a minimum of 15 days off per year 🖥️ Apple equipment 💸 401k plan Location We're headquartered in San Francisco, CA, with a beautiful office in the Mission District (near Dolores Park). We welcome employees who want to work from this office; we offer additional benefits to those who do (see below), and relocation assistance to those who'd like to. We regularly bring our team together for offsites & trips, about every 2 months, both for fun and for work. We cover all travel & lodging in these cases.

SmartRecruiters is a values-driven, global-minded, and well-funded tech employer on a mission to connect people to jobs at scale. As a global leader in enterprise recruitment software, SmartRecruiters offers a cloud-based global Hiring Success platform that allows teams to attract, select, and hire the best talent. 4,000 companies worldwide rely on SmartRecruiters to achieve hiring success—including brands like Bosch, LinkedIn, Skechers, and Visa—using recruitment marketing, CRM, AI, ATS, and a marketplace of 600+ connected vendors all within one scalable platform. SmartRecruiters was recognised by Forbes as one of the Best Employers in 2020. We are proud to offer a collaborative, diverse, and remote-friendly work environment, as well as competitive salaries and generous equity. We believe in promotion from within, so high performance can lead to upward mobility. Needless to say, we make sure you’re taken care of. Our inclusive office environment welcomes and respects all. We are looking for a talented backend engineer to join SmartPal - the industry's most advanced conversational AI. SmartPal allows building chatbots for the recruiting industry that are based on Machine Learning and Natural Language Processing technologies. Our goal? Simple as that - to create the most automated and personalised candidate experience ever. What you will do: * Participate in the full life-cycle of the product (including problem discovery, prototyping, design, implementation and measuring adoption), * Design and develop services with Python on top of Kubernetes/AWS infrastructure as well as connect to our persistence layer (MongoDB, PostgreSQL), * Build and document developer-friendly RESTful APIs, * And the most important - bring your own product ideas to life. You will work with passionate people (our Engineering teams are located in Berlin and Krakow), so that all together we can reach one of the most important goals of today - to connect people to jobs at scale. • You are an experienced back-end developer using Python, working with modern RESTful APIs and designing persistence layer (MongoDB),, • You are familiar with Amazon AWS, containerization software (Docker/Kubernetes) and monitoring/analysis tools (Kibana/Grafana/Prometheus),, • Basic knowledge of Java and Node.js,, • You have a very good level of English (both verbal and written),, • You have a good understanding of test automation techniques, because our goal is to automate it all,, • You share SmartRecruiters values and are willing to make an impact in the HRTech world. SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology. With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products. Sentry embraces a hybrid work model, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools. The Issue Workflow team is responsible for Sentry's core debugging experience, which includes alerts, issue search, and issue details. These are the most visited pages on our product and they are critical to the daily workflow for millions of software engineers across the world. We are looking for a Senior Backend Engineer to join the team. You will work on backend systems that processes billions of queries per day, tackle challenging distributed system problems, and ideate/build new product experiences for Sentry to interoperate with humans and AI agents. * Collaborate with EM, PM and Product Designer to ideate, execute, validate and iterate quickly on new features, and join customer calls to get first-hand feedback on your work. * Build and maintain features using React (TypeScript) and Django (Python) in our ___. * Have opportunities to work on high-impact projects that touch the entire stack: understanding the ___ pipeline; delving into ___; and surfacing that data to our customers on our backend and frontend codebases (did we mention that almost all of them are ___?). * Work closely with AI/ML, infrastructure, and other EPD teams to ideate, design and build the next generation of Sentry. * Build tests and set up monitoring for your work to maintain a high engineering standard for Sentry. * Raise the team’s technical aptitude through code review and mentorship. * You are a product-minded software engineer. You regard Product and Design as your peers, and you seek collaboration to create innovative workflows. * You want to delve deeper than the application layer to understand the systems and services powering the APIs that you are using. * You are excited to roll up your sleeves to dive into another team’s codebase to unblock yourself, making good, maintainable changes and earning the recognition of your counterparts. * You relish the idea of making small improvements to a tool that magnifies into days of saved time across our customer base. * You want to be the change you seek in the world of developer tooling. You recognize that you are the target user for Sentry, and you want to have an influence on the things that make it into the product. * 7+ years of professional software engineering experience. * Bachelors Degree in Computer Science, or related field, and/or relevant experience. * Strong experience with Django/Python (or similar frameworks and languages). * Familiarity with React/Typescript (or similar frontend frameworks and languages). * Bonus: Prior experience working on innovative product-focused teams/companies. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $185,000 to $288,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See ___ for more details about the Company’s benefit plans/programs. Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at ___. Want to learn more about how Sentry handles applicant data? Get the details in our ___.

Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers. Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives outcomes while making healthcare more affordable. Onos recently closed a $6M Seed round with top-tier investors and is already working with some of the nation’s largest health plans, signing its first national plan just months after launch. Come join a category-defining company and help reimagine healthcare for the better. * Meaningful impact: Help fix what is fundamentally broken in healthcare * Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise * Culture: Join a high-performing, transparent, and results-oriented team * Ownership: Significant responsibility and autonomy from day one * Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company We're seeking an experienced and highly capable full-stack product engineer who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll take ownership of developing a significant part of the Onos platform, such as our user-facing application and APIs. As an early team member, you'll be expected to wear multiple hats, including acting as a frontend developer, UI/UX designer, and backend developer. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person at least once a week. * Leading the development for our end-user web application, used by healthcare administrators and providers * Architecting and implementing major platform components to provide actionable insights and recommendations to health plan administrators and support robust workflows related to addressing fraud, waste, and abuse * Prototyping new features and use cases for demos and user feedback * Establish engineering best practices and technical foundations for future team growth and AI-enabled coding * Help shape our technical roadmap, make key architectural decisions, and influence the company's product and design strategy * Develop a flexible and robust UI/UX that supports many types of use cases and data sources related to administrative healthcare workflows and include intelligent, actionable insights. * Implement functionality related related to machine learning pipelines that ingest complex medical standards, analyze medical records and automate recommendations for clinical reviewers * Incorporate human-centric AI user experiences, in which the UI/UX enables users to build trust with the use of AI in our products * Design and implement high quality user experience while upholding high security and privacy standards Tech Stack: * At Onos, we work with a modern tech stack where you'll have the freedom to evaluate and adopt cutting-edge technologies as we scale. * Languages/Frameworks: * Frontend: Typescript, NextJS, Tanstack Query, Shadcn UI, Zod, Nuqs * Backend: Python, Django, django-ninja, django-tenants * Database/Storage: PostgreSQL (AWS RDS), S3 * Infrastructure/Systems: AWS (ECS, Bedrock, Cognito, etc.), Docker, Github Actions * Development Tools: Github, Jira, CoderabbitAI, Tusk * 5+ years professional experience building end-user web applications at product-driven companies * Proficient with web and backend technologies (e.g., React, Python) and relational databases (e.g., PostgreSQL/MySQL) * Customer obsessed and motivated to make an impact in the healthcare space * High user empathy and the ability to develop frontend UI/UX with minimal guidance * A collaborative team player with attention to detail * Significant experience working with healthcare data and with HIPAA best practices * Developed design systems and made frontend codebases maintainable * Played the role of an architect on major full stack software projects * Flexible hybrid arrangement: 1-2 days/week at San Francisco office (financial district), remote-first culture * Unlimited vacation policy * Paid parental leave * Medical, dental, and vision insurance * Pre-tax commuter benefits * 401(k) * Significant equity as an early employee * Ground-floor opportunity to help build a team and culture * Regular team events and offsites * Company-provided equipment and home office setup We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are looking for a versatile Research Engineer with a strong background in machine learning or 3D, software development, and systems design. This role is ideal for someone excited about bridging cutting-edge research with practical engineering, and who thrives on solving diverse technical challenges across modeling, infrastructure, and product development. You’ll work closely with researchers, engineers, and product teams to design, build, and deploy advanced models and systems in real-world applications on the cutting edge of spatial intelligence. The role emphasizes hands-on contributions across the entire lifecycle—exploration, prototyping, experimentation, and production deployment. You will help ensure our technology continues to push boundaries in AI and remains robust, scalable, and impactful. * Research, design, and implement machine learning models and systems across multiple domains (vision, generative AI, simulation, rendering). * Develop efficient software pipelines and infrastructure for data curation, training, evaluation, and deployment. * Translate research insights into production-ready solutions, collaborating with product teams to meet real-world requirements. * Contribute hands-on to all aspects of the engineering cycle—prototyping, optimization, integration, and scaling. * Stay current with the latest research trends and explore opportunities to apply new methods to product and system development. * Share technical expertise with colleagues, mentor junior team members, and promote engineering best practices. * 3+ years of experience in applied machine learning, research engineering, 3D, or related development roles, ideally in fast-paced or startup environments. * Proficiency with ML frameworks such as PyTorch or TensorFlow, and solid understanding of generative modeling, deep learning, or reinforcement learning. * Demonstrated ability to work across different problem domains (e.g., computer vision, simulation, graphics, or systems). * Proven track record of delivering robust prototypes and/or production systems. * Strong coding skills in Python (additional experience with C++ or CUDA a plus) and comfort with GPU-accelerated computing. * Strong problem-solving skills with the ability to adapt quickly, manage ambiguity, and operate in a dynamic environment. * Excellent communication skills, with the ability to work effectively across research and product-focused teams. * Contributions to open-source projects in ML, systems, or developer tools. * Experience with large-scale training or distributed systems (multi-GPU or multi-node). * Familiarity with deployment and integration of ML models in production settings. * Experience writing efficient low-level code (e.g., CUDA kernels, performance optimization).

Our mission is to reinvent the way people learn, starting with language. We begin by teaching the next billion people English, Spanish, and French. English is the global language of business, culture, and communication, and over 1.5 billion people around the world are actively trying to learn right now. Others dream of communicating with the half-billion native Spanish speakers across the globe. The problem is that it's nearly impossible to learn to speak a language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actually converse with someone. Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation, without needing a human on the other end. The goal is to make it radically more accessible to be able to have conversations in a foreign language and eventually help hundreds of millions of people gain fluency who otherwise wouldn't be able to. We started on this journey over five years ago and we've still got a long ways to go. We're thoughtfully adding new team members only when we think they can truly play a big role in our mission. Speak launched first in South Korea where we have quickly grown to become the top grossing education app in the country. We have now delivered this winning product to more than 40 countries globally and are continuing to expand to more markets in the coming months. The company is well funded, and as of December 2024, we've reached a $1B valuation with our Series C round, through key partners like Accel, OpenAI, Founders Fund, Y Combinator, Khosla Ventures, Lachy Groom, Josh Buckley, and more. We’re a team of more than 90 based throughout San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency. In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You will also work closely with Product teams to design innovative learning experiences and measure the efficacy of production models as they affect our end users. We are a small, dynamic team where you will contribute as a developer and thought partner on team projects like ASR, assessment, pronunciation, content personalization, and much more. This is an incredibly exciting time to join an ML team designing a personalized learning experience that will revolutionize language learning for millions of learners worldwide — come join us! * Training and deploying ASR models end-to-end, including monitoring, performance tracking, and retraining * Improving the pronunciation model that provides precise feedback, and make it more central to our learning app * Creating metrics to measure ASR performance across tasks and languages * Expanding our ASR systems to new languages and markets * Building and maintaining data infrastructure such as training/evaluation datasets and labeling pipelines * Extensive experience training large models on GPUs and deploying custom deep learning models * Proficiency in Python and common Deep Learning frameworks like PyTorch * Demonstrated experience owning ML pipelines end to end, from POC to production * Strong communication skills and the ability to explain complex ML concepts to non-technical stakeholders * Sharp product sense and an ability to think broadly and cross-functionally about model quality in the context of user experience * Bonus * Experience with speech or audio * San Francisco, CA * Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets. You'd join at a magical time when a single person could significantly change the course of the company. * Do your life's work with people you’ll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply. * Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, and you’ll have the opportunity to talk to users in each of these regions on a regular basis as well as travel. * Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and right now 99% of people never achieve their goal because the process is broken. We’re helping millions of people achieve their goals and improve their lives. Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our ___. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the ___, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our ___ and ___ blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. We’re looking for builders–intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML at Whatnot. You’ll design and scale the feature ingestion and storage infrastructure that powers critical business logic & machine learning applications across the company. You’ll work side by side with machine learning scientists to make the most of near-real-time signals and unlock entirely new product experiences. * Own the feature ingestion and storage infrastructure powering both core business logic and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more. * Push the boundaries of real-time decisioning, ensuring Whatnot’s ML models respond ever faster to constantly changing marketplace dynamics. * Design and evolve real-time feature pipelines that feed both our online and offline stores, ensuring sub-second latency, high reliability, and model training fidelity. * Optimize system performance by managing resource utilization and developing intelligent feature caching strategies. * Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features. * Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next AI/ML Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience. * 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads. * 1+ years of professional experience developing software in Python * Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams. * Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana. * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink. * Professionalism around collaborating in a remote working environment and well tested, reproducible work. * Exceptional documentation and communication skills. For US-based applicants: $225,000 - $320,000/year + benefits + stock options The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Staff Software Engineer (IC) – High-Growth AI/FinTech Startup Full-time · Hybrid (San Francisco) $220k–$300k + equity A well-funded, rapidly scaling startup in the AI-driven fintech space is looking for an experienced Staff Engineer to take ownership of reshaping the foundations of their core platform. After two years of fast iteration and customer growth, the product has evolved into a set of independently built services. They now need a senior IC who can bring coherence, scalability, and long-term architectural stability as the engineering team expands. This is a high-impact individual contributor role working directly with the CTO. You’ll set technical direction, oversee major system redesigns, and help prepare the platform to support significantly larger usage, customer demands, and a future 20–40+ engineer organisation. What You’ll Be Doing Lead architectural transformation • Redesign major components into a unified, maintainable, scalable system., • Remove legacy code, reduce fragmentation, and introduce sound architectural patterns., • Define technical standards and guide the broader engineering team towards consistent, high-quality design. Drive high-leverage engineering work • Partner closely with the CTO on long-term technical strategy., • Lead development of workflow systems for real-time identity, income, and document verification., • Strengthen the infrastructure that powers the company’s automated decisioning engine (currently >70% auto-approval/denial rate)., • Support integrations with internal ML models that perform fraud detection and financial document understanding. Influence and elevate the engineering culture • Collaborate with senior and junior engineers across backend, full-stack and infra., • Improve developer velocity and support onboarding of larger enterprise customers., • Help the company scale from an early-stage engineering organisation to a mature, high-performance team. What They’re Looking For • 7–8+ years’ experience as a strong backend or full-stack IC., • Proven ability to re-architect complex systems and scale codebases beyond the “early startup” phase., • Experience in a fast-growing startup (Seed → A → B or similar) where the engineering org expanded meaningfully., • Depth in modern backend or full-stack development (ideal: TypeScript, React, Node.js, Python)., • Someone who thrives in ambiguity, makes pragmatic technical decisions, and moves quickly., • A high engineering bar and the ability to raise the standards of those around you. Tech Environment • Frontend: TypeScript, React, • Backend: Node.js, Python, • Data: Postgres, BigQuery, Redis, • Cloud: GCP, • Hybrid working model; candidates must be based in or willing to relocate to the San Francisco Bay Area. (Hybrid flexibility available for senior candidates.) Why This Role Is Exciting • Join a business with strong revenue, real customers, and top-tier backers., • Have ownership of mission-critical architecture, not just feature work., • Work alongside a highly capable CTO and shape the company’s technical trajectory for years to come., • Build systems that support real-world decisions for millions of end-users., • Competitive salary, meaningful equity, and the chance to make a long-term technical mark.

Senior Backend Developer - Python $130,000 - $200,000 San Francisco, CA Hybrid Overview We’re looking for a seasoned backend engineer to help design and build the core systems behind our workspace platform. You’ll take ownership of designing efficient services and APIs, working closely with product and engineering peers to deliver reliable, scalable systems. This role is ideal for someone who enjoys writing clean, performant code and shaping the technical foundation of a fast-moving product. What You’ll Be Doing • Partner with product and technical teams to define and deliver backend capabilities., • Design and implement service components and APIs that handle complex business logic., • Work primarily in Python, using frameworks such as Flask to develop and extend our service layer., • Build integrations and data flows on top of our cloud infrastructure (AWS)., • Participate in architectural planning, technical reviews, and process improvements across the team. About You • 6+ years of professional software engineering experience, including substantial time spent on backend systems., • Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services., • Solid understanding of AWS fundamentals and modern cloud-based design patterns., • Comfortable designing for performance, scalability, and maintainability., • Pragmatic problem-solver with strong technical judgment and attention to detail., • Experience in enterprise SaaS or insurance platforms is a plus. Nice to Have: • Experience working at companies with small teams.

Slice Talent partered up with AI Security Start-Up - $38 million in Series A - VC Backed About US We’re building the identity and access foundation for the agent-native era—a new generation of systems where AI agents act on behalf of people and organizations to perform complex, real-time tasks. Our mission is to empower developers and enterprises to build, deploy, and trust agentic applications with the same confidence they have in traditional software—through secure, scalable, and context-aware infrastructure. We’re developing real-time, in-band guardrails that make it safe to move from human-driven workflows to fully autonomous, AI-powered systems. The goal: enable builders and security teams to operate with visibility, control, and trust as agents transition from experimentation to production. We’re a small, distributed team of repeat founders and builders who’ve worked across leading developer, infrastructure, and security platforms. Joining us now means helping shape not just the product, but the company itself. Who We’re Hiring We’re expanding our engineering team and hiring Front End, Backend Engineers and Full Stack Engineers who want to help build the secure foundation for the agent-native future. You’ll work across distributed systems, developer platforms, and AI-driven architectures to create the primitives that power trusted agentic applications. What You’ll Do • Design, build, and scale backend systems and APIs that serve as the backbone for AI-driven workflows., • Contribute to core platform components that enable real-time identity, access, and control., • Collaborate with product, design, and AI research teams to shape new developer-facing capabilities., • Implement secure, reliable systems for high-scale environments., • Help define engineering culture and best practices as an early technical leader. What We’re Looking For • 4+ years of experience in front-end, backend or full-stack engineering (or equivalent impact)., • Proficiency in languages such as React, Go, Python, or TypeScript., • Strong understanding of distributed systems, APIs, and cloud architecture., • Experience with modern frameworks and developer tooling (React, Next.js, GraphQL, etc.)., • Deep interest in AI infrastructure, agent systems, or security., • Curiosity, craftsmanship, and a bias for ownership—you thrive in dynamic environments. Why Join Us • Impact: Shape the technical foundation of a company building core infrastructure for the AI-native world., • Growth: Join at a pivotal Series B stage—backed, scaling, and shipping fast., • Autonomy: Build across a modern stack with full ownership of your systems., • Team: Work alongside deeply technical peers who care about quality, trust, and developer experience., • Purpose: Help unlock the agent economy by making it safe and scalable for the world to adopt.

Senior Full Stack Engineer - React / Node / APIs / Software (Hybrid) Overview A Senior Full Stack Engineer is required to join an exciting early stage startup in the San Francisco East Bay. This is a high-impact opportunity to build a secure cloud platform from scratch, powering a new generation of electric vehicles for global markets. Why join? • Stable Funding: Enjoy the agility of a startup without the instability of the typical venture capital cycle., • Elite Team: Work alongside founders with backgrounds in high-volume manufacturing and top-tier tech consulting., • Real Impact: Solve complex logistics challenges that have a tangible, positive impact on global mobility., • Salary: Base salary up to $200,000 DoE, plus equity, • Benefits: Medical, Dental, and Vision insurance, 401(k) with company match and 20 days PTO + 11 holidays. The Company A mission-driven hardware and software company revolutionizing personal transportation. By combining rugged, purpose-built electric vehicles with innovative financing solutions, they make mobility accessible in underserved economies. They foster a collaborative, hands-on culture where software directly interacts with the physical world. The Role You will own the end-to-end development of the fleet management system. This is a "build-from-scratch" role where you will: • Architect backend services, data pipelines, and web applications., • Design secure authentication, authorization, and encryption for IoT data., • Collaborate on mobile experience to ensure clean integration between the app, cloud, and vehicle telemetry. The Essential Requirements • 5+ years of experience shipping production full-stack systems., • Deep proficiency in Javascript/Typescript., • Strong experience with Front-End (React, Vue) and Back-End (Node.js, Go, Python)., • Experience designing scalable APIs and managing cloud infrastructure (AWS/GCP/Azure)., • Must be willing to work on-site in the San Francisco East Bay area., • Must possess legal authorization to work in the United States. What will make you stand out • Experience with mobile development (React Native)., • Expertise in applied cryptography, authentication, and system security., • Background in IoT, telematics, or MQTT/real-time data processing., • Previous experience as a founding or early-stage engineer., • A passion for EVs, automotive tech, or hardware-software integration. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Senior Full Stack Engineer, Staff Software Engineer, IoT Platform Engineer, Security Engineer, Fleet Management Developer, Vehicle Telematics Engineer, Node.js Developer, React Developer, Typescript Engineer, Cloud Architect, Backend Engineer, Full Stack JavaScript Developer, EV Software Engineer, Automotive Software Engineer, Mobile Integration Engineer, React Native Developer, Connected Vehicle Engineer, API Developer, AWS Cloud Engineer, Secure Systems Architect, Hardware Software Integration, Start-up Engineer, San Francisco Software Jobs, East Bay Developer, Python Engineer, Golang Developer, Lead Software Engineer, Mobility Tech. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

As part of Harrison Clarke Ventures’ mission to help exceptional founders scale from Seed through Series B, we’re looking to connect with software engineers who love building real products and taking ownership end-to-end from idea to shipped feature to iteration in the wild. We partner closely with a curated group of high-potential startups across Silicon Valley, and we’re always excited to meet engineers who want to be early, influential builders inside ambitious teams. Ideal Experience: • 2+ years at a startup or clear evidence you’ve built/owned a meaningful product or feature in a fast-moving environment., • Comfort working in small teams where your work directly shapes the company. Technical Background: • Full-stack engineers with a tilt toward either:, • Front-end: React, Next.js, Vue, modern UI systems, • Back-end: Python, Go, TypeScript/Node, distributed systems, • Bonus points for engineers who care about product, not just code. Our startups use technology to solve genuine customer problems, not to build complexity for its own sake. The people who thrive in these roles are naturally curious, hungry to grow, and calm in ambiguity. If you’re excited to have real impact, influence direction early, and compress your learning curve, we should talk. Location: San Francisco Bay Area, New York, Austin, or remote depending on the company. About Harrison Clarke Ventures Harrison Clarke Ventures is the venture and growth arm of Harrison Clarke. We work alongside world-class founders and funds to help early-stage companies find the talent that defines their trajectory. We’re hands-on, fast, and founder-obsessed - supporting startups across AI, enterprise software, data infrastructure, developer tools, fintech, and the future of work. Learn more:______ About the Harrison Clarke Ventures Talent Team We operate as an embedded talent partner to our startup network. Our team combines years of startup recruiting and VC talent work, giving you access to opportunities that often aren’t publicly advertised. How we work If your background looks like a strong match, we’ll reach out and suggest a quick intro call. On that call we’ll: • Share how our venture talent model works, • Learn what you care about (tech, stage, problem space, culture, growth), • Walk you through the most relevant roles across our startups, • Make targeted introductions where there’s real mutual fit We move quickly and keep things human. No endless recruiting loops; just focused conversations with high-potential teams.

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security, • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient, • Tackle complex challenges in distributed systems, databases, and AI infrastructure, • Collaborate with technical leadership to define and refine the product roadmap, • Write high-quality, well-tested, and maintainable code, • Contribute to the open-source community and engage with developers in the space Your Vibe: • 5+ years experience designing building distributed database systems, • Expertise in building and operating scalable, reliable and secure database infrastructure systems, • Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure, • Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB., • Programming skills in Python, • Passion for building developer tools and scalable infrastructure Our Vibe: • Relaxed work environment, • 100% paid top of the line health care benefits, • Full ownership, no micro management, • Strong equity package, • 401K, • Unlimited vacation, • An actual work/life balance, we aren’t trying to run you into the ground. We have families and enjoy life too!

Moveworks Conversational AI Engineer Location: Bay Area, CA (Onsite preferred) — Remote considered Type: Contract We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions. Responsibilities • Design, develop, and enhance AI-driven bots using the Moveworks platform, • Configure intents, entities, and NLU models for high accuracy, • Build conversational flows to automate IT/HR/Finance use cases, • Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira, • Develop backend services using Python or Node.js, • Monitor bot performance and implement continuous improvements, • Collaborate with IT and business stakeholders on requirements, • Troubleshoot bot logic, integrations, and platform issues Qualifications • 1–3+ years of hands-on experience with Moveworks, • Strong expertise in NLP/NLU configuration, • Programming experience (Python/Node.js/TypeScript), • REST API development & integration experience, • Exposure to ServiceNow, Workday, Jira, or SAP, • Familiarity with SQL/NoSQL databases, • Strong problem-solving and communication skills, • Experience in Agile/Scrum environments

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for an Infrastructure Site Reliability Engineer Job Description: Job Title: Infrastructure Site Reliability Engineer Job Type: Contract (4+ months) with strong possibility to convert to fulltime Job Location: San Francisco, CA Work Schedule: Hybrid (2 days a week) Rate: $80, Based on experience, Open to C2C candidates as well. As a Site Reliability Engineer (Contractor), you will be a hands-on contributor, focused on supporting and improving the reliability of our AWS cloud infrastructure. You will apply core SRE principles to automate operational tasks, monitor system health, and participate in incident response. This role is execution-focused, supporting the senior team in ensuring our services are available and performant while maintaining an awareness of healthcare compliance standards. The contract extension beyond 3 months will be on the need basis. Responsibilities • Cloud Infrastructure Execution & Maintenance:, • Assist in deploying, configuring, and maintaining highly available AWS infrastructure components., • Execute Infrastructure as Code (IaC) changes using tools like Terraform to provision and configure resources., • Support the operations and maintenance of existing containerized applications running on platforms like Kubernetes and Docker., • AWS Networking Support:, • Assist the senior team in maintaining the security and efficiency of our core AWS network topologies (e.g., VPCs, subnets, routing)., • Perform basic configuration and maintenance of cloud load balancing (ALB/NLB) and DNS services (Route 53)., • Support the enforcement of network security policies and assist in routine network troubleshooting for connectivity or latency issues., • Site Reliability & Automation:, • Identify and automate routine manual operational tasks using scripting (Python/Bash) to improve efficiency and reduce toil., • Participate in blameless post-mortems and incident response efforts, focusing on documenting steps taken and assisting with root cause analysis., • Contribute to the documentation and adherence of established Service Level Objectives (SLOs) and Service Level Indicators (SLIs)., • Monitoring & Compliance:, • Maintain and use existing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health., • Assist in managing and verifying CI/CD pipelines to ensure safe and efficient software releases., • Support compliance efforts by ensuring operational procedures align with security best practices and regulatory requirements (HIPAA, SOC 2). Qualifications: • 8+ years of hands-on experience in a DevOps, Cloud Engineering, or SRE-focused technical role., • Solid practical experience with AWS cloud provider services., • Hands-on experience with Linux administration and troubleshooting., • Proficiency in scripting languages such as Python, Bash, etc for automation., • Solid experience with Infrastructure as Code tools such as Terraform., • Experience with containerization technologies such as Docker and Kubernetes., • Experience with monitoring systems like Prometheus, Grafana, AWS Cloud Watch., • Experience with writing SQLs on PostgreSQL DB., • Working understanding of core networking principles (VPC, routing, load balancing)., • Basic understanding of security and compliance requirements in a regulated industry (e.g., healthcare, finance). Preferred Qualifications: • Relevant certifications such as AWS Certified SysOps Administrator or AWS Certified Developer., • Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Jhankar Chanda ( for more details.

Staff / Lead ML Infrastructure Engineer San Francisco, CA — Onsite Salary - Over market average + equity We are building one of the world’s leading generative video and multimodal AI platforms, and we’re looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You’ll Own • Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment., • High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines., • Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs., • End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout., • Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability., • Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling., • Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You’ve Done • Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company., • Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams., • Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure)., • Strong engineering fundamentals in Python, Go, or equivalent languages., • Previous exposure to ML training pipelines—especially systems that handle heavy video, multimodal, or high-dimensional data., • Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have • Experience with video processing systems, large-scale media pipelines, or streaming architectures., • Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators)., • Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads., • Background working in high-growth AI startups or research-focused environments., • Security and compliance considerations for models that generate or process user content. Why Join • Shape the underlying platform powering one of the most advanced generative video systems in the world., • Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs., • Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies., • Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

A fast-growing, deeply technical AI company is looking for a Research Engineer to join a small, high-performing team building the next generation of agentic LLM systems for software development. This is an opportunity to work at the frontier of AI, helping design and evaluate models that can understand, write, and reason about complex codebases. We are looking for someone who is passionate about AI for code, obsessed with understanding how LLMs behave, and excited to help push the boundaries of autonomous software engineering. What You’ll Work On • Design and run large-scale LLM evaluations, benchmarks, and experiments - particularly for code understanding and generation tasks., • Build tools, datasets, and research frameworks that measure LLM reasoning, reliability, grounding, and hallucination reduction., • Collaborate closely with product and engineering teams to improve model performance across real-world developer workflows., • Work with frontier LLMs (across multiple providers) to analyze behavior, provide structured feedback, and drive improvements in accuracy, reliability, and autonomy., • Prototype new capabilities for long-horizon agentic systems, including retrieval, planning, debugging, and automated coding workflows., • Contribute to model fine-tuning and alignment work, including SFT, LoRA, DPO, or RLHF pipelines., • Build production-quality research tools and evaluation pipelines that scale to real engineering environments. What We’re Looking For • 3+ years of experience in AI/ML engineering, research engineering, or similar fields., • Strong coding fundamentals and comfort working in production environments (Python preferred)., • Hands-on experience with LLMs (training, fine-tuning, benchmarking, or evaluation)., • Experience with transformer architectures, retrieval-augmented generation (RAG), or reasoning-heavy LLM workflows., • Deep interest in code generation, AI developer tools, or program synthesis (professional or personal projects)., • Ability to think rigorously about model behavior, failure cases, and reliability., • Comfortable working in a fast-paced, highly collaborative environment with end-to-end ownership. Bonus Points • Experience with AI systems for code: program synthesis, automated debugging, static analysis, code search, etc., • Prior work with agentic or multi-step reasoning systems., • Contributions to evaluation frameworks, benchmarks, or open-source model tooling., • Background in compilers, programming languages, distributed systems, or developer tooling., • Research experience at top universities, labs, or advanced ML teams. Why This Role Is Exciting • Work directly with cutting-edge LLMs and agentic tooling., • Influence the direction of an emerging AI product with real-world impact., • Solve some of the hardest problems in AI today: evaluation, grounding, reasoning, and autonomous coding., • Join an elite team with deep experience in LLMs, distributed systems, and developer productivity tools., • Massive opportunity for ownership, impact, and career growth. If you’re passionate about AI for software engineering, love solving deep technical problems, and want to work at the frontier of LLM research, we’d love to hear from you.

Job Title: Oracle Essbase Developer Location: Pleasanton, CA / Dallas, TX / Coppell, TX / San Francisco, CA We are looking for a highly skilled Senior Essbase Developer to join our dynamic team. In this role, you will leverage your expertise in Essbase and multidimensional database design to develop and maintain robust analytical solutions that empower our business stakeholders with actionable insights. You will be responsible for architecting complex Essbase applications and collaborating with cross-functional teams to ensure seamless integration with enterprise data sources. Responsibilities 1. Design, develop, and implement high-performance Essbase applications to support complex analytical requirements, 2. Optimize existing Essbase applications for performance and scalability, utilizing advanced features and methodologies, 3. Collaborate with business analysts and stakeholders to gather requirements and translate them into technical specifications, 4. Conduct thorough testing and validation of Essbase calculations and data integrity to ensure high-quality deliverables, 5. Provide mentorship to junior developers, fostering a culture of knowledge sharing and continuous improvement, 6. Stay abreast of industry best practices and emerging technologies to enhance our analytical capabilities Qualifications 1. 6+ years of experience in Essbase development and administration., 2. Strong understanding of multidimensional database concepts and OLAP technologies., 3. Proven experience in building complex calculations and data models within Essbase., 4. Expertise in SQL and relational databases, with the ability to integrate with various data sources., 5. Experience with Oracle Hyperion Planning and other Oracle EPM tools., 6. Knowledge of data visualization tools such as Tableau or Power BI., 7. Familiarity with cloud-based data solutions and ETL processes., 8. Technical Skills and Relevant Technologies., 9. Advanced proficiency in Essbase, including calculation scripts and data load processes., 10. Strong SQL skills for querying and manipulating data., 11. Experience with data integration tools and ETL processes., 12. Knowledge of programming languages such as Python or Java is a plus., 13. Exceptional problem-solving skills with a detail-oriented mindset., 14. Strong communication skills, with the ability to articulate complex concepts to non-technical

We are actively searching for a Distributed Systems Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Our office is located in downtown SF and we collaborate two days a week onsite. Your Rhythm: • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security, • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient, • Tackle complex challenges in distributed systems, databases, and AI infrastructure, • Collaborate with technical leadership to define and refine the product roadmap, • Write high-quality, well-tested, and maintainable code, • Contribute to the open-source community and engage with developers in the space Your Vibe: • 3+ years of professional distributed database systems experience, • Expertise in building and operating scalable, reliable and secure database infrastructure systems, • Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure, • Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB., • Programming skills in Python, • Passion for building developer tools and scalable infrastructure, • Available to collaborate onsite 2 days a week Our Vibe: • Relaxed work environment, • 100% paid top of the line health care benefits, • Full ownership, no micro management, • Strong equity package, • 401K, • Unlimited vacation, • An actual work/life balance, we aren’t trying to run you into the ground. We have families and enjoy life too!

Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Data Scientist (San Francisco, CA) Our client is seeking a highly motivated and skilled Data Scientist to join a fast-paced, agile team focused on applying the latest advancements in artificial intelligence to solve complex, real-world problems. This position is ideal for an experienced developer who thrives in innovative environments and wants to work at the forefront of AI technology within a mission-driven organization. Location San Francisco, CA – Flexible arrangement based on candidate availability; onsite work is preferred. Engagement: 1099 Contract-to-Hire Important Notice: Successful candidates will be required to complete an in-person onboarding process. All expenses related to travel and accommodation for onboarding will be fully covered by our client. Responsibilities • Design, build, and maintain complex AI-driven software systems., • Develop and optimize machine learning and NLP pipelines, with a focus on scalability and production readiness., • Collaborate with team members to define requirements, perform software design, conduct peer reviews, and document solutions., • Implement best practices including version control, unit testing, code reviews, and agile development cycles., • Design and analyze experiments to validate model performance and enhance AI workflows. Required Skills & Qualifications • Strong Python skills, particularly for machine learning and NLP projects, • Good SQL skills for querying and analyzing data, • Basic C# skills – ability to read and understand existing .NET / .NET Core code and make minor adjustments if needed, • Experience working with Large Language Models (LLMs) or modern AI tools (e.g., ChatGPT, Cursor, Copilot), • Understanding of API and Microservices concepts, • Ability to work independently and thrive in a small, agile team Preferred Experience • Bachelor’s degree in Computer Science, Engineering, or a related field, • 5+ years of experience in software engineering, AI development, or ML engineering, • Cloud experience (Azure or AWS) is a plus, • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience with ETL processes and end-to-end ML pipeline development, • Exposure to big data tools like Databricks, Snowflake, Spark, or Solr is beneficial Additional Notes • Flexible hybrid or onsite role, depending on candidate preference., • Contract-to-hire with simple agreement amendment upon conversion. If you’re passionate about AI, Python, and NLP and want to contribute to impactful projects in a flexible, high-growth environment, we encourage you to apply.

Site Reliability Engineer As a Site Reliability Engineer (Contractor), you will be a hands-on contributor, focused on supporting and improving the reliability of our AWS cloud infrastructure. You will apply core SRE principles to automate operational tasks, monitor system health, and participate in incident response. This role is execution-focused, supporting the senior team in ensuring our services are available and performant while maintaining an awareness of healthcare compliance standards. The contract extension beyond 3 months will be on the need basis. Key Responsibilities (Contract Deliverables) Cloud Infrastructure Execution & Maintenance: • Assist in deploying, configuring, and maintaining highly available AWS infrastructure components., • Execute Infrastructure as Code (IaC) changes using tools like Terraform to provision and configure resources., • Assist the senior team in maintaining the security and efficiency of our core AWS network topologies (e.g., VPCs, subnets, routing)., • Perform basic configuration and maintenance of cloud load balancing (ALB/NLB) and DNS services (Route 53)., • Identify and automate routine manual operational tasks using scripting (Python/Bash) to improve efficiency and reduce toil., • Participate in blameless post-mortems and incident response efforts, focusing on documenting steps taken and assisting with root cause analysis., • Maintain and use existing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health., • Assist in managing and verifying CI/CD pipelines to ensure safe and efficient software releases., • Support compliance efforts by ensuring operational procedures align with security best practices and regulatory requirements (HIPAA, SOC 2). Required Qualifications • 8+ years of hands-on experience in a DevOps, Cloud Engineering, or SRE-focused technical role., • Solid practical experience with AWS cloud provider services., • Hands-on experience with Linux administration and troubleshooting., • Proficiency in scripting languages such as Python, Bash, etc for automation., • Solid experience with Infrastructure as Code tools such as Terraform., • Experience with containerization technologies such as Docker and Kubernetes., • Experience with monitoring systems like Prometheus, Grafana, AWS Cloud Watch., • Experience with writing SQLs on PostgreSQL DB., • Working understanding of core networking principles (VPC, routing, load balancing)., • Basic understanding of security and compliance requirements in a regulated industry (e.g., healthcare, finance). Preferred Qualifications • Relevant certifications such as AWS Certified SysOps Administrator or AWS Certified Developer., • Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). Compensation: $72 - $90 per hour ID#: 2508

You’ll be responsible for building and maintaining end-to-end web applications — from developing scalable backend systems to crafting engaging, user-friendly frontends. This role requires strong problem-solving skills, attention to detail, and a passion for delivering high-quality digital experiences. Key Responsibilities: • Design, develop, and maintain scalable web applications from front to back., • Collaborate with designers, engineers, and product teams to translate requirements into functional solutions., • Build RESTful APIs and integrate third-party services., • Implement responsive and interactive UI components using modern frontend frameworks., • Write clean, maintainable, and efficient code following best practices., • Ensure performance, security, and reliability of applications., • Participate in code reviews and contribute to continuous improvement., • Troubleshoot and debug issues across the stack. Requirements: • Proven experience as a Full Stack Developer or similar role., • Strong proficiency in JavaScript (Node.js, React, or similar frameworks)., • Experience with backend technologies (Node.js, Express, Python, Go, etc.)., • Solid understanding of frontend technologies (HTML, CSS, React, Vue, or Angular)., • Familiarity with databases (SQL and NoSQL) and ORM tools., • Experience with cloud platforms (AWS, GCP, Azure) and version control (Git).

Full Time Direct Hire - Senior Python Developer – Production Test Automation (Manufacturing) “We are looking for a hands-on Python developer to build and maintain production test automation software for high-precision LiDAR sensors in a manufacturing environment.” Manufacturing Test Engineering Manager (or Senior/Lead Test Engineer) Location: San Francisco, CA (Onsite) Red Oak Technologies is partnering with our client, a leader in LiDAR sensor technology, to identify a highly skilled Manufacturing Test Engineering Manager. We are open to considering strong Senior or Lead-level Test Engineers who are ready to take on team leadership responsibilities while continuing to code daily. This role is fully onsite in San Francisco, CA. Position Overview The Manufacturing Test Engineering Manager will be a hands-on technical leader responsible for developing and maintaining production test software for high-volume LiDAR sensor manufacturing. The ideal candidate will have strong Python development skills, proven experience in test engineering for electro-mechanical assemblies, and the ability to mentor and guide a team while contributing individually on a daily basis. The role requires close collaboration with cross-functional teams to improve test coverage, reduce test time, and ensure production readiness as new products move from development into manufacturing. Key Responsibilities • Develop, maintain, and improve production test software using Python for LiDAR sensor and sub-assembly manufacturing., • Serve as a working manager, providing technical leadership while contributing hands-on daily., • Mentor and train Test Engineers on both technical and soft skills., • Establish team priorities, KPIs, and work goals aligned with product development schedules and company objectives., • Collaborate with cross-functional teams on software development, verification, and validation for new product introductions., • Drive continuous improvement initiatives, including test time reduction, data quality enhancements, and production process optimization., • Apply software engineering best practices, including coding standards, code reviews, source control management, CI/CD pipelines, and test automation., • Communicate project updates, risks, and recommendations to management and stakeholders., • Ensure timely completion of team deliverables and proactively address constraints or delays., • Support contract manufacturing facilities with occasional travel (less than 10%)., • Strong proficiency in Python development (minimum 5 years)., • Experience with CI/CD infrastructure, GitLab, Jenkins, and SQL database design., • Strong skills in debugging, programming, data collection, and data analysis., • Experience using project tracking tools such as Jira, Confluence, or equivalents., • Proven ability to deliver results in a fast-paced engineering environment., • Excellent organizational skills with the ability to manage multiple concurrent projects., • Demonstrated people management or technical leadership experience (3+ years preferred)., • Experience working with high-precision electro-mechanical assemblies., • BS in Computer Science, Mechatronics, Mechanical Engineering, or a related technical field required., • Background screening is conducted by the client. The Manufacturing group has zero tolerance for misdemeanor or felony theft or robbery offenses. Since 1995, Red Oak Technologies has been a trusted partner in the technology industry, specializing in identifying and placing highly skilled contract, permanent, and project-based professionals. We value diversity and welcome applicants from all backgrounds and experiences. Red Oak Core Values: Relationships First | Exceptional Quality and Service | Unwavering Integrity and Trust | Be Easy To Do Business With | Respect Everyone

Local Candidates only Who You Are: • An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor., • Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice. Minimum Requirements: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field., • 5+ years of full stack development experience, • Strong proficiency in either a front-end framework (___, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar), • 4+ years experience with front-end frameworks (preferably ___), • 2+ years of developing and deploying AI/ML solutions or applications, • Experience designing and developing RESTful APIs (with e.g. Python FastAPI)., • Familiarity with prompt engineering, • Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes), • Strong automated software testing skills (Python unittest, jest, Playwright), • Familiar with Agile methodologies, • Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges., • Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges., • Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders., • Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake)., • Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation) Preferred Qualifications: • Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems, • Experience in developing Microsoft Word add-ins using ___., • Experience with web technologies like JWT, WebSockets, etc., • Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar., • Familiarity with DevOps, infrastructure, and continuous integration concepts., • Familiarity with CRDT technologies like Yjs., • Experience with using NLP/LLMs on clinical text., • Basic knowledge of clinical drug development

Are you an experienced Platform Engineer, looking to jump into a once in a lifetime opportunity? Join a fast-growing, Series A company building the next hyperscaler for AI agents, a cloud platform where AI applications can build other software. This highly technical role is critical for the core product, focusing on the design and performance of secure, isolated, and incredibly fast cloud computer runtimes. We are looking for a skilled developer with a diabolical obsession for optimizing systems to run fast and efficiently at massive scale, who is eager to take full ownership of projects from initial concept to delivery. This is your chance to define the foundational infrastructure for the future of AI development, backed by tens of millions in funding. An opportunity like this has huge upside potential. You have the opportunity to get into a small startup, before the company dramatically increases in size. Responsibilities • Design and Architect the core backend and cloud infrastructure (Distribution Systems) that powers the AI agent platform., • Performance Optimization of runtimes and sandboxes for LLMs, utilizing VM hypervisors (Firecracker/gVisor) to ensure ultra-low latency., • Systems Mastery: Solve complex distributed systems challenges at scale, leveraging Kubernetes/Nomad and deep Linux expertise. Must-Haves • Non-Negotiable Languages: Deep production experience in Golang, Python, and TypeScript., • Scale: Proven ability to build and operate distributed systems infrastructure., • Linux/Virtualization: Expertise in Linux internals and experience with VM hypervisors (Firecracker/gVisor). If this sounds of interest, please apply below! We have interviews lined up next week, so be quick! Salary: $180 - $250k + Equity

You’ll work closely with engineering, analytics, and product teams to ensure data is accurate, accessible, and efficiently processed across the organization. Key Responsibilities: • Design, develop, and maintain scalable data pipelines and architectures., • Collect, process, and transform data from multiple sources into structured, usable formats., • Ensure data quality, reliability, and security across all systems., • Work with data analysts and data scientists to optimize data models for analytics and machine learning., • Implement ETL (Extract, Transform, Load) processes and automate workflows., • Monitor and troubleshoot data infrastructure, ensuring minimal downtime and high performance., • Collaborate with cross-functional teams to define data requirements and integrate new data sources., • Maintain comprehensive documentation for data systems and processes. Requirements: • Proven experience as a Data Engineer, ETL Developer, or similar role., • Strong programming skills in Python, SQL, or Scala., • Experience with data pipeline tools (Airflow, dbt, Luigi, etc.)., • Familiarity with big data technologies (Spark, Hadoop, Kafka, etc.)., • Hands-on experience with cloud data platforms (AWS, GCP, Azure, Snowflake, or Databricks)., • Understanding of data modeling, warehousing, and schema design., • Solid knowledge of database systems (PostgreSQL, MySQL, NoSQL)., • Strong analytical and problem-solving skills.

Sage Labs is an AI-powered commerce startup revolutionizing product discovery. We work at the intersection of machine learning, distributed systems, and high-performance computing, building cutting-edge search and discovery experiences. Backed by industry leaders, we are solving some of commerce’s toughest engineering challenges. We operate with a flat structure, emphasizing direction and execution over hierarchy. As a Backend Engineer, you will design, build, and maintain the core services powering our AI-driven platform. This is a hands-on role for an engineer who thrives in complex, high-scale environments. Your Impact * Design scalable backend systems—Develop high-throughput, low-latency services for AI-driven search * Ensure reliability—Optimize performance, fault tolerance, and observability at scale * Develop APIs—Build well-documented, efficient APIs for seamless data exchange * Enhance CI/CD—Automate deployment and release workflows * Integrate AI/ML—Collaborate on AI-driven recommendations and personalization * Secure systems—Implement best practices for data security and compliance * Boost developer productivity—Improve internal tooling and workflows Who You Are * Backend expert—7+ years in distributed systems, HPC, or cloud infrastructure * Programming skills—Fluent in Python, Go, or Rust, with scalable system experience * Cloud knowledge—Expertise in AWS, GCP, or Azure, including serverless and containerized workloads * DevOps experience—Hands-on with Terraform, Kubernetes, and CI/CD * Data-driven—Familiar with real-time data processing and high-availability architectures * Bias for action—Move fast while balancing sustainability * Startup-ready—Thrive in ambiguity, adapt to change Why Join Us? * Build from the ground up—Shape the future of AI-first commerce * Collaborate with top engineers—Solve cutting-edge problems in AI and commerce * Own meaningful projects—Make an impact on architecture and product * Competitive package—Salary, equity, and benefits If you're an engineer eager to build AI-driven systems and transform commerce, we want to hear from you Apply now or reach out to No recruiters or agencies please Benefits include: * Unlimited PTO * Competitive Salary * Equity Options * Daily food stipend

Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services. Senior Backend Developer - Python. Work primarily in Python, using frameworks such as Flask to develop and extend our service layer.

Senior] Software Engineer - Django / Python at. We are looking for a Python/Django Developer.

A glance at our tech stack: Python, Pyspark, Pytorch. Python with experience working with data.

Senior Backend Developer - Python. Work primarily in Python, using frameworks such as Flask to develop and extend our service layer. Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services.

Senior Python Developer Production Test Automation (Manufacturing). Python developer to build and maintain production test automation software. Apply software engineering best practices, including coding standards, code reviews, source control management, CI/CD pipelines, and test automation.

Software Engineer - Python/Golang - Kubernetes. This is an exciting opportunity for a software engineer passionate about open source software, Linux, Golang, Python and Kubernetes. Golang developer also fluent in Python.

Senior Web Developer must have 5+ years of industry experience with hands-on experience developing web applications. Python, Ubuntu, PostgreSQL, jQuery, Django, CSS, HTML5, AJAX, Bootstrap, OpenLayers, Web Development, Front End, Database, Software, Analysis, Agriculture, Cloud, Mobile, Big Data. Ki

Role: Spark Developer with Scala. The ask is for a 100% Hands on developer, who has strong understanding on Apache Spark and is good in preferably Scala (if not, then Python or Java). Advanced level of Java/Scala/Python development experience.

Python – comfortable with modern Python (3. We're looking for an Intermediate Python Developer focused on data products to deliver production‑grade data tools and APIs that eliminate integration friction and accelerate time‑to‑value for customers onboarding with Alembic. Deliver reusable Pyt

Python - comfortable with modern Python (3. Were looking for an Intermediate Python Developer focused on data products to deliver production-grade data tools and APIs that eliminate integration friction and accelerate time-to-value for customers onboarding with Alembic. Deliver reusable Python SDK

Two Days Onsite - Must be Based in the Bay Area, CA Generative AI, VC-Backed Startup / $30M Valuation / Growing!! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $175,000 - $210,000 per year A bit about us: Funded by Amplify Partners and Redpoint Ventures, we are a growing, Seed-stage startup. We are building a distributed data processing platform that will help developers build Generative AI applications. Join our talented and dynamic team of folks coming from companies like Hashicorp, Netflix, Meta, and LinkedIn. As a Founding Product Engineer, you will be responsible for building the developer platform for our serverless platform. Why join us? • Excellent medical, dental, and vision benefits, • 401k, • Meaningful, early stage equity, • Five weeks PTO / Paid holidays, • Remote flexibility, • Flexible work hours, • Autonomy, • Opportunity to join a thriving, growing startup and make a real impact. Job Details • 7+ years of front-end or full-stack development, • Experience with technologies such as React, Next.js, Typescript, Python, FastAPI, or SQLAlchemy Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Job DescriptionAbout the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. Who you are • Proficiency in building and maintaining full-stack web applications, • Experience with modern frameworks and languages such as Python, Next.js, and Postgres, • Strong understanding of API design principles, authentication strategies (OAuth, API keys), and SDK architecture, • Familiarity with developer tooling and platforms—understanding what makes great documentation, intuitive DX, and reliable SDKs, • Experience with OpenAPI / Swagger and API gateway design, • Familiarity with WebSockets, streaming APIs, or real-time collaboration tools, • Competitive SF salary and foundational team equity

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a product-minded Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. You will also be responsible to: * Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development. * Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions. * Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team. * Implement and improve validation, monitoring, and observability for ML services within the sandbox environment. * Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement. * Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability. * Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment. * Conduct code reviews and mentor team members to uphold high engineering standards. * Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team. RequirementsQualifications / Experience / Technical Skills * Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. * 3+ years of experience of professional software development experience, with a proven track record of shipping high-quality products. * You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience. * You have experience building developer-facing products, APIs, SDKs, or CLIs. * You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models. * Proven track record of deploying and maintaining ML services in production environments is a strong plus. * Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms. * LLMops/MLops experience is a strong plus, especially in developer-facing products. * Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable. Soft Skills / Personal Characteristics * Excellent written and verbal communication skills in English. * Collaborative team player with a passion for empowering developers and improving developer experience. * Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment. * Strong problem-solving skills and a continuous improvement mindset. (REQ ID: 2242)

Job Description Interactive Systems Developer Location: San Francisco Bay Area (Hybrid or Onsite) Employment Type: Full-Time Compensation: $150,000 – $250,000 base + equity Tech Stack: C++, Python, React, TypeScript About the Work We’re building autonomous surgical robotics that dramatically reduce the learning curve for complex procedures. By combining off-the-shelf robotic hardware with proprietary planning, control, and machine learning algorithms, our systems execute surgical steps with greater speed and precision than human hands. Surgeons provide high-level guidance; the system handles the rest. At the heart of this innovation is an intuitive, real-time interface—your canvas. The Role We’re hiring a multidisciplinary Interactive Systems Developer to design and build real-time applications that blend robotics, game design, and front-end development. You’ll create tools and interfaces that power surgical robotics—merging control systems, 2D/3D visualization, and mobile/web UI. This is a high-impact role for someone who thrives at the intersection of creativity and technical rigor. What You’ll Do • Build interactive front-end applications for robotic control, real-time feedback, and simulation, • Design intuitive robotic control methods optimized for touchscreen devices, • Implement 3D visualizations using tools like Three.js, Unity, Unreal Engine, or Babylon.js, • Integrate sensor data, control systems, and user input across hardware/software teams, • Develop responsive web interfaces using TypeScript and frameworks like React or Lit, • Rapidly prototype and iterate on tools that merge gaming, robotics, and UI/UX, • Ensure accessibility, performance, and usability across platforms, • Collaborate with a diverse, interdisciplinary team focused on innovation and user-centered design What You Bring • Experience in game development or interactive 3D applications (Unity, Unreal Engine, etc.), • Strong proficiency in TypeScript and modern front-end frameworks (React, Vue, Lit, etc.), • Familiarity with 2D/3D rendering libraries (Three.js, Babylon.js, Godot, Pixi.js), • Understanding of real-time systems and data streams (e.g., WebSockets), • Strong design instincts and attention to user experience, • Comfort working independently and within cross-functional teams Bonus Skills (Not required, but a plus) • Experience with ROS (Robot Operating System), Gazebo, RViz, • Familiarity with physics engines (PhysX, Bullet, Box2D), • 3D modeling capabilities, • Mobile development experience (React Native, Flutter), • Accessibility and inclusive design expertise

Job DescriptionJoin us at Cleric We're building an autonomous AI SRE that helps software engineering teams reliably investigate production incidents. Our agent combines LLMs with tools to understand systems, reason through problems, and take corrective actions - even for issues it hasn't encountered before. Our mission is to let engineers focus on building products, not fighting fires. We're a small team of AI and infrastructure veterans backed by leading AI investors. Cleric is already in production at high scale companies and saving engineers hundreds of hours in investigations. About the role You'll help us scale our AI agent across multiple customer environments. You'll design and implement the infrastructure for agent deployment, execution, evaluation, and learning - creating systems that let us run our agents efficiently and reliably. You'll architect systems to process agent telemetry data, manage our simulation environments, and train our AI agent. This includes building deployment pipelines, scaling mechanisms for handling increased load, and expanding our integrations (observability, cloud provider APIs etc) to suit diverse customer environments. Beyond the technical implementation, you'll also set practical standards in code review, CI and observability to keep quality high while we scale. You'll mentor other engineers, provide technical direction, and ensure we're making pragmatic architectural decisions that balance immediate needs with long-term scalability. You'll have technical autonomy in designing and implementing these systems, working closely with our founding team to expand our platform capabilities while maintaining high engineering standards. What you'll do: * Build and scale our agent platform, evaluation systems, and the web applications where users manage their Cleric deployment * Design agent telemetry pipelines that power our simulation environments and evaluations * Implement monitoring and observability systems to observe platform and agent performance * Create testing frameworks and development patterns to maintain engineering quality * Build APIs, tools, and libraries that help our team ship quickly and reliably * Establish engineering best practices and mentor other engineers as we grow You have: * 6+ years of production software engineering experience * Strong software engineering fundamentals with focus on simplicity and maintainability * Track record of working with data scientists to build high-scale production services * Deep experience with observability tools and practices (Datadog, OpenTelemetry) * Experience with cloud infrastructure (GCP, AWS) and containerization * Extensive experience in Python and at least one high performance language like Java, Scala, Go, or Rust * You've worn the pager and fixed 2AM outages * You challenge assumptions and propose pragmatic solutions * Curiosity and drive to learn new technologies Nice to have: * Experience with LLM-based systems * Hands-on with ML / LLM platform tooling (feature stores, model serving, eval) * Background in building developer platforms * Previous startup experience How we work: * Small teams, big impact: We believe that small teams can deliver great products * Culture matters: We like to give and receive direct feedback and keep the room inclusive * In-person collaboration: We believe in working closely to deliver the best results * AI-first approach: We use AI daily in the way we build and run the company Interview process (you'll meet most of the team via the process) * Intro Call * Discuss your experience, the company, product, and the role * Lightning tech screen (10 mins) to swap ideas on engineering practices. * Software Engineering Session (1 hour) * Collaboratively build an application * Focus on practical software engineering, not algorithm challenges * System Design Session (90 mins) * Work through a system design problem relevant to your daily work * Bar Raiser (60 mins) * Product thinking * Engineering practices Compensation Range: $160K - $220K

Job DescriptionWho We Are Baton is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world's most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Baton's mission: enable supply chain on autopilot. Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here. Role: Staff Software Engineer - Machine Learning Operations Team: Machine Learning Pod Location: Hayes Valley, San Francisco, CA Basic Job Details Job Type: Full Time Work Model: Hybrid Remote Days: Monday & Friday Office Days: Tuesday, Wednesday, Thursday Job Description As a Staff Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure. You'll build scalable ML infrastructure from the ground up - supporting model deployment, distributed training, real-time inference, and more. You'll be a key partner to the Data Science team, helping bring value to production quickly and reliably. This role requires a blend of advanced Python programming skills within production environments and expertise in distributed computing. Responsibilities • Own Core ML Infrastructure:, • Build and scale distributed systems for ML training, serving, and inference., • Design and implement real-time ML workflows that power core product features., • Implementation of Distributed Systems:, • Build robust distributed systems tailored for efficient ML training and seamless operational deployment., • Feature Engineering Enhancement:, • Streamline and manage both online and offline feature stores, optimizing feature engineering processes for greater efficiency., • Real-Time ML Workflow Enhancement:, • Improve real-time machine learning workflows to support dynamic decision-making and automate core operational processes., • Platform Level Ownership:, • Lead the development of ML Ops systems, including model deployment, monitoring, and experiment tracking., • Architect and manage scalable feature stores for online and offline usage., • AI-Driven Optimization:, • Contribute to agentic AI systems for freight matching, ETA prediction, and load scheduling., • Support systems that improve Stop Estimation Accuracy and Cross-Mode Optimization., • Production Ready Engineering:, • Write production-grade Python that operates at scale, with reliability and performance top of mind., • Collaborate across engineering and data science to turn models into resilient software systems.Required Qualifications, • Production Python & Distributed Systems Expertise, • Advanced proficiency in Python at a Staff Level, • Must be within a production environment where the code directly impacts operations., • Experience in distributed computing, scalable ML infrastructure, & high-performance engineering., • Machine Learning (MLOps), • Scales ML infra for multiple teams and use cases., • Experience implementing and serving ML algorithms., • Ensures reproducibility, lineage, and experiment rigor., • Owns end-to-end ML systems: training, deployment, features, monitoring, rollback., • Hands-on experience with data engineering, distributed training, model monitoring, and experiment tracking., • Breadth of knowledge and applied experience across multiple ML applications, with proven ability to leverage a wide range of tools, frameworks, and systems., • Technical Leadership & Cross-Functional Influence, • Leads design and delivery of large-scale ML or distributed systems., • Defines reusable patterns, standards, and architectures., • Drives decisions that improve reliability, latency, and developer velocity., • Sets technical direction and elevates ML engineering standards., • Communicates vision and trade-offs across disciplines., • Can Mentor other ML engineers on the team. Preferred Qualifications • 5 to 8 years of backend or ML infrastructure experience., • Proven track record building production ML workflows at scale., • Experience in industry logistics, transportation, or freight is a bonus. The Perks • Competitive Base Salary, • Long Term Cash Incentive Plans, • Annual Company Bonus, • 401k with Matching, • Hybrid Work Schedule, • Comprehensive Health Coverage, • Hyper-Stable, publicly traded Enterprise, • Employee Stock Purchase Program (15% discount to market value) Compensation will vary based on factors including skill level, transferable knowledge, and experience. Note that the above is not the representation of total compensation, which includes our LTI Package as well. In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses. Why You Should Join • Have an immediate impact:, • With Ryder's existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one., • Opportunity to grow and lead in a Fortune 500 company:, • You'll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team., • Creative, fast-paced environment to solve impactful problems in Supply Chain:, • We're going to design completely new tools for an industry that hasn't been rethought in decades. And to do this, we need people who think differently.