Software Engineer - Developer Productivity & AI Tools

At Thinking Machines Lab, our mission is to enhance human potential through the advancement of collaborative general intelligence. We aspire to create a future where everyone can harness the knowledge and tools necessary to utilize AI for their unique objectives.We are a diverse team of scientists, engineers, and builders, responsible for developing some of …

About ArcadeArcade is pioneering the world’s first AI-driven platform for creating physical products, where creativity meets reality. Our innovative platform empowers users to design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe in democratizing creation, allowing anyone to produce physical goods as effortlessly as sharing online content, and we are developing the infrastructure to realize this vision for both consumers and businesses.With a substantial investment of $42M from an exceptional group of investors, including notable figures like Reid Hoffman and Ashton Kutcher, Arcade is set to revolutionize the industry. Our founders and investors are backed by a talented team from leading companies such as Google, Apple, and NVIDIA, driven by the mission to innovate at the intersection of AI, personal expression, and on-demand manufacturing.Role SummaryAs a Product Engineer specializing in AI, you will be a crucial player in shaping the future of design and commerce. Reporting directly to our Co-Founder & CEO, Mariam Naficy, you'll collaborate with engineers, designers, and AI researchers to deliver groundbreaking experiences. You will take ownership of key products from inception through execution, determining development directions and implementing them effectively.The ideal candidate is an innovative engineer capable of designing agent behaviors, writing production-quality code, prototyping workflows, crafting system prompts, debugging issues, and iterating based on user feedback. This role requires a proactive mindset and the ability to manage cross-functional initiatives in a dynamic startup environment.

About Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.

ABOUT BASETENAt Baseten, we empower the leading AI companies of today, including Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer, by providing essential inference capabilities. Our unique blend of applied AI research, adaptable infrastructure, and intuitive developer tools enables innovators at the cutting edge of AI to seamlessly transition advanced models into production. With our recent success in securing a $300M Series E funding round, backed by notable investors such as BOND, IVP, Spark Capital, Greylock, and Conviction, we're on an exciting growth trajectory. Join our team and contribute to the platform that engineers rely on to launch AI-driven products.THE ROLEAs an Applied AI Inference Engineer at Baseten, you'll collaborate closely with clients to design, develop, and implement high-performance AI applications using our platform. You will guide customers through the entire process, from initial concept to deployment, transforming vague business objectives into dependable, observable solutions that meet defined quality, latency, and cost metrics.This position is ideal for innovative engineers eager to gain insight into how modern organizations scale AI adoption. You will thrive if you enjoy a multifaceted role that intersects product development, software engineering, performance optimization, and direct customer engagement.It’s essential to note that this position requires hands-on coding and software development, while also encompassing elements of product management, technical customer success, and pre-sales engineering.EXAMPLE INITIATIVESExplore insights from our Forward Deployed Engineering team through these blog posts: Forward Deployed Engineering on the frontier of AIThe fastest, most accurate Whisper transcriptionDeploy production-ready model servers from Docker imagesDeploy custom ComfyUI workflows as APIs...

About MercorAt Mercor, we are pioneering the future of work by collaborating with top AI laboratories and enterprises to harness the human intelligence crucial for AI development. Our extensive network of over 30,000 experts generates more than $2 million daily, training state-of-the-art AI models through knowledge sharing that transcends what code can convey.We are forging a new realm of work where expertise fuels the advancement of AI. To achieve this ambitious vision, we seek a dedicated and dynamic team. Join us as we work closely with researchers, operators, and AI firms reshaping societal systems. As a profitable Series C company with a valuation of $10 billion, we operate in-person five days a week from our offices in San Francisco, New York City, or London.About the RoleAs a Software Engineer specializing in Applied AI within Mercor's Enterprise team, you will engage at the crossroads of engineering, product development, and client success. Our engineers are builders at heart, collaborating directly with enterprise clients to architect and implement technical solutions that maximize the potential of Mercor's platform. Your tasks will range from designing integrations and developing production-quality code to deploying scalable solutions in live environments, always aligned with measurable business outcomes. You will work hand-in-hand with customer stakeholders and internal teams to create systems that seamlessly integrate AI-driven human intelligence within complex enterprises.Your ResponsibilitiesEngage with enterprise clients to assess technical needs and business objectives.Design and implement custom integrations, APIs, and workflows leveraging Mercor’s platform.Deploy scalable solutions in client settings while ensuring successful launches and expansions.Develop internal tools and reusable components to streamline future deployments.Translate complex enterprise requirements into precise technical plans and deliverable systems.

Join Retell AI as a Senior Full Stack Software EngineerAt Retell AI, we are revolutionizing the call center industry with innovative voice AI technology. Our cutting-edge solutions are designed to improve communication efficiency, allowing businesses to automate sales, support, and logistics calls that once required large teams of human agents. In just 18 months, we have experienced remarkable growth, achieving $36M in annual recurring revenue with a dedicated team of 20, up from $5M at the beginning of 2025.Our goal for 2026 is to create a modern customer experience platform powered entirely by AI. We are not just automating but building intelligent AI agents that can perform the roles of frontline agents, quality assurance analysts, and managers, continuously enhancing customer interactions.We are rapidly expanding and seeking talented individuals who are ready to solve challenging technical problems, work at a fast pace, and make a significant impact in one of the fastest-growing voice AI startups.Let’s shape the future of communication together!

Saris AI develops advanced AI automation for the banking sector, with teams in San Francisco, Montreal, and Toronto. The company addresses large-scale automation challenges, focusing on long-context reasoning, integrating with legacy systems, and meeting strict compliance needs. Saris AI’s AI agents are already active in production, supporting real customer workflows as the business expands. Role overview The San Francisco engineering team is seeking an Engineering Manager. This leader will guide engineers through shifting priorities and frequent ambiguity. The position involves building and leading teams, managing projects from concept to launch, and ensuring the delivery of reliable software that powers AI-driven products. What you will do Build and lead engineering teams focused on automation and AI Oversee software projects from initial idea through production launch Adapt to changing requirements and priorities as the company grows Address the technical challenges unique to deploying software in AI systems Requirements Proven experience building and leading engineering teams History of delivering software projects from start to finish Comfort working in environments where priorities and requirements shift quickly Understanding of the complexities involved in AI-driven software deployment Location This role is based in San Francisco.

About the Team:The AI Deployment Management (ADM) team empowers organizations to harness OpenAI's products, translating them into meaningful, long-lasting results through exceptional service execution.Our mission is to facilitate the successful adoption and operationalization of AI within organizations. We collaborate with enterprises and educational institutions to transform the potential of OpenAI's technology into sustainable capabilities through structured training, technical enablement, and dedicated services.By guiding customers from experimentation to production, the ADM team accelerates their time-to-value, enhances product adoption, and establishes OpenAI as an essential element in organizational operations. In the education sector, this involves promoting AI literacy, fostering institution-wide adoption, and enhancing workflows in teaching, administration, learning, and research.About the Role:As the EDU AI Deployment Manager, you will play a crucial role in post-sales enablement, delivering high-impact adoption services tailored to educational institutions leveraging OpenAI's product suite. This position is responsible for designing and implementing enablement experiences that establish a repeatable adoption framework, ensuring sustained activation, broadening usage, and measuring impact across OpenAI’s offerings, including ChatGPT Enterprise and Agents.This role requires a blend of product expertise, instructional design, and customer advisory skills. You will lead interactive workshops, provide services, and create adoption strategies for diverse audiences, including faculty, students, staff, technical practitioners, and institutional leaders, helping them understand not just the functionalities of OpenAI’s products but also their application in real-world scenarios.Success in this role translates to accelerating institutional readiness and AI literacy, boosting product adoption across campuses, facilitating the launch of new product features, and assisting customers in realizing tangible outcomes across teaching, learning, research, and operations. You will take charge of achieving outcomes related to activation and sustained usage by shaping how enablement leads to measurable impact.This role is based in our San Francisco or New York City office, operating on a hybrid work model with three days in the office each week. We also offer relocation assistance for new employees.Responsibilities:Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, while defining effective enablement patterns to support adoption among faculty, students, IT administrators, and instructional designers.

Who Are We?Postman stands as the premier API platform globally, empowering over 45 million developers and 500,000 organizations, including an impressive 98% of Fortune 500 companies. Our mission is to assist developers and professionals worldwide in constructing an API-first ecosystem by simplifying every phase of the API lifecycle and enhancing collaboration—allowing users to create superior APIs at an accelerated pace.Headquartered in San Francisco, Postman has additional offices in Boston, New York, Austin, Tokyo, London, and Bangalore, where our journey began. We are a privately held company backed by esteemed investors including Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or connect with us on X via @getpostman.P.S: We highly recommend exploring The "API-First World" graphic novel to better grasp our overarching vision at Postman.About the TeamThe Ecosystem team is dedicated to delivering essential extensibility features within Postman that our Ecosystem partners can utilize to create engaging applications for our users.This team plays a critical role in Postman’s journey of feature expansion by ensuring that the product offers capabilities that can be safely and securely leveraged by third-party applications.Collaboration is key, as the team works closely with all of Postman’s product and platform teams.We are engaged in building a product from the ground up, working across frontend, backend, and middleware.What You’ll DoDevelop scalable, reliable, and high-performance systems that meet the needs of thousands of ecosystem developers building applications on Postman, serving hundreds of millions of users.Collaborate with senior engineers and cross-functional teams to fully understand product requirements and develop ecosystem capabilities that enable developers to create the next wave of applications.Draft and review technical specifications, offering constructive feedback to fellow developers.Be accountable for features from inception to deployment, ensuring that a high-quality standard is consistently upheld.About YouYou hold a Bachelor's degree in Computer Science or possess equivalent industry experience.You have proficiency in Java, NodeJS, ReactJS, or similar technologies.You bring 8+ years of experience in constructing backend or full-stack services.Your problem-solving and analytical skills are exceptional.You have experience in developing scalable distributed systems.

Join Retell AIAt Retell AI, we leverage first principles to revolutionize the call center experience through innovative voice AI technology.In just 18 months since our launch, our AI voice agents have been adopted by thousands of companies to manage sales, support, and logistics calls, significantly reducing the need for large teams of human agents. Supported by Y Combinator, Alt Capital, and other notable investors, we've achieved impressive growth, scaling from $5M to $36M ARR with a dedicated team of 20.Looking ahead to 2026, we aim to create a comprehensive AI-powered Customer Experience (CX) platform that transforms entire contact centers. Instead of simple automation requiring ongoing human oversight, we are developing intelligent AI "workers" that serve as frontline agents, QA analysts, and managers — perpetually executing, monitoring, and enhancing customer interactions.We're experiencing rapid growth and are on the lookout for passionate innovators eager to tackle complex technical challenges, accelerate progress, and make a significant impact at one of the leading voice AI startups.Let’s build the future together.Ranked in the top 50 AI applications by a16z: https://tinyurl.com/5853dt2x#4 on Brex's Fast-Growing Software Vendors list for 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on: https://leanaileaderboard.com/

Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.

About Mercor Mercor partners with leading AI labs and enterprises to advance the future of work. The company’s network of over 30,000 experts earns more than $2 million daily, sharing expertise that supports AI development beyond just code. Mercor’s mission is to create a new category of work where deep knowledge drives progress in artificial intelligence. Mercor is a Series C company valued at $10 billion. The team works in person five days a week from offices in San Francisco, New York City, and London. Role Overview: Engineering Manager, Applied AI This role leads engineering teams within the Applied AI division, focusing on systems that improve model quality, such as evaluation infrastructure and annotation tools. The Engineering Manager works closely with product and research groups to keep Mercor’s technology at the forefront of AI. The position is based in San Francisco and requires full-time, on-site presence. Key work includes building partnerships with top AI labs and directly improving advanced models through better data management, evaluation, and system enhancements. This role calls for strategic thinking, a hands-on leadership approach, and a strong sense of ownership. Main Responsibilities Team Development Manage and grow a team of 6-10 engineers Mentor engineers and support their professional growth Foster a culture of ownership and set high expectations for execution Shape hiring processes and engineering practices to build a high-performing team Applied AI Systems Create insights and methods for evaluation systems that measure and improve model performance Lead projects to improve data quality, operational efficiency, system stability, and scalability Scale products that generate high-quality training data and refine human-in-the-loop workflows Technical Leadership Guide system design for complex AI applications

Join Shiplight AI as a Founding Engineer, AIAre you ready to be at the forefront of the AI revolution and make a significant impact?Do you believe in enhancing productivity exponentially through innovative solutions?At Shiplight AI, we are on a mission to redefine enterprise-scale automation through intelligent agents. We envision a future where organizations leverage AI systems capable of understanding context, taking meaningful actions, and seamlessly collaborating with humans — transforming workplace dynamics.Our initial goal is to revolutionize software quality assurance. We are developing cutting-edge agentic QA systems that integrate deeply within the software development lifecycle, empowering every product manager, developer, and tester with their own AI QA engineer for real-time validation of their work.You will be part of a small, dedicated founding team led by industry experts, focusing on the intersection of AI agents, systems engineering, and enhancing real-world developer productivity.

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

About UsAt Sierra, we are innovating a transformative platform designed to empower businesses in crafting exceptional, human-centric customer experiences utilizing AI technology. Our headquarters is located in the vibrant city of San Francisco, with an expanding presence in key global cities including Atlanta, New York, London, France, Singapore, and Japan.Our company culture thrives on core values that shape our actions: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. We are devoted to integrating these principles into every facet of our work.Sierra was co-founded by industry visionaries Bret Taylor, who is the Board Chair of OpenAI and former co-CEO of Salesforce, and Clay Bavor, a seasoned Google veteran who led numerous groundbreaking initiatives including Google Labs and Project Starline.Your RoleCraft a comprehensive playbook for onboarding and educating customers on Sierra's offerings, including the Agent SDK and our no-code platform, Agent Studio.Spearhead the design and implementation of developer training and enablement initiatives.Create scalable content, such as technical documentation, educational videos, onboarding pathways, and sample repositories to facilitate SDK adoption.Serve as an Agent Software Engineer to develop and deploy AI Agents, gaining expertise in agent development.Collaborate with marketing teams to publish developer case studies and success stories that resonate with our expanding technical community.What You BringA genuine passion for empowering businesses—both small and large—to develop outstanding AI Agents.A degree in Computer Science or a similar field, or equivalent hands-on professional experience.A minimum of 4 years of experience in software development, particularly in highly technical products or developer relations.Exceptional written and verbal communication skills, with a commitment to engaging in hands-on training sessions.

Join the Innovative Team at CodeRabbit!At CodeRabbit, we are at the forefront of research and development, dedicated to creating cutting-edge human-machine collaboration systems. Our mission is to revolutionize code review processes through a next-generation partnership between skilled engineers and sophisticated AI algorithms. By harnessing the power of generative AI, we aim to enhance software development efficiency and quality, achieving results that far exceed individual capabilities.Role OverviewAs an Applied Generative AI Engineer, you will be instrumental in designing, building, and deploying state-of-the-art generative AI systems that drive our code review and developer productivity tools. Your work will center around integrating cutting-edge methodologies such as Retrieval-Augmented Generation (RAG), Reinforcement Learning from Human Feedback (RLHF), and multi-step agentic reasoning into impactful product workflows.Collaboration will be key! You will work closely with engineers, product managers, and technical leads to build intelligent systems that deliver tangible value, transforming how developers write, review, and ship code.Key ResponsibilitiesDesign and enhance LLM-based systems for contextually rich and high-quality code reviews.Create and optimize agentic workflows that reason across various steps and contexts.Develop and manage knowledge base and retrieval pipelines, including chunking, embeddings, and semantic search.Deploy generative AI models into production and monitor their performance.Collaborate with cross-functional teams to ensure AI outputs meet user needs and align with product objectives.Analyze user feedback and usage data to iteratively refine system performance.Implement RLHF, ranking, and reward modeling techniques to enhance response quality over time.Stay updated on the latest advancements in generative AI and apply them to emerging use cases.QualificationsEducation: Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.Experience: Minimum of 3 years of experience working with machine learning or LLM-based systems in production environments, with at least 2 years dedicated to generative AI.Technical Skills: Proficiency in programming languages and frameworks relevant to AI development.

fractional-ai is looking for a Senior or Staff Software Engineer to join the San Francisco office. This position centers on building advanced AI solutions with a team that values both technical depth and collaboration. Role overview This role focuses on designing and developing AI-driven systems. The work involves solving technical challenges and contributing to projects that push the boundaries of what AI can achieve. Collaboration with other engineers and stakeholders is a key part of daily responsibilities. Who will thrive Experienced engineers with a strong background in software development Those who enjoy working on complex technical problems Individuals who value teamwork and open communication Location This position is based in the San Francisco office.

fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects

About Fractional AIAt Fractional AI, we specialize in crafting tailored generative AI software solutions designed to revolutionize businesses. Our clientele includes private equity-backed enterprises and Fortune 500 companies spanning diverse industries.As every C-suite executive strives to reconcile the theoretical aspects of AI with real-world application, we bridge this divide with our exceptional engineering team, delivering bespoke end-to-end AI solutions. Our rapidly expanding company stands at the forefront of applied AI, collaborating with some of the largest private equity firms globally.This is an ideal environment for intellectually curious individuals eager to make a significant impact from day one.About the RoleIn this pivotal role, you will be tasked with expanding and managing a portfolio of business relationships while cultivating profound connections across the industry. You will be both a deal closer and a strategic advisor in AI value creation, influencing how leading firms harness generative AI to achieve quantifiable business results.This presents a unique opportunity to join an early-stage company that is on the rise and has a proven go-to-market strategy addressing real customer challenges.This is a quota-carrying position.Key Responsibilities:Revenue Generation: Lead the complete sales cycle from start to finish. Collaborate with AI Architects to define project scopes, conduct C-suite workshops, and position Fractional AI as the go-to choice for complex applied AI initiatives.AI Strategy Consultation: Establish yourself as a trusted AI advisor. This entails guiding executives toward high ROI implementation projects and providing expertise on due diligence and AI advisory initiatives.Account Management and Growth: Formulate and execute strategic plans to enhance key accounts. Oversee your portfolio of active projects and provide strategic direction.Industry Representation: Secure invitations and represent the company at industry conferences and exclusive events/summits.Networking: Build trust and establish strong relationships with investors, operators at the firm level, and executives within portfolio companies.Travel: Travel up to 1-2 times per month to client sites and private equity firm offices.

Join MongoDB's Developer Relations team as an AI Staff Developer Advocate, where you’ll champion our cutting-edge artificial intelligence (AI) capabilities. In this dynamic role, you will engage directly with the developer community, forge strategic partnerships with AI-focused companies, and develop compelling resources and content that inspire others to leverage MongoDB's advanced data and AI features.Your mission will be to empower developers—from innovative startups to established Fortune 500 companies—to seamlessly integrate AI into their applications. If you're passionate about enabling builders to explore AI's vast potential and thrive in nurturing a robust developer ecosystem, we encourage you to help us shape the future of development with MongoDB.Our Developer Relations teams operate globally, with most members working remotely. This position is based in the vibrant San Francisco Bay Area. To discover what our team is creating, check out our content on YouTube, Dev, and Medium.