Applied AI Engineer

About WorkOS 🚀WorkOS is revolutionizing the developer landscape by creating cutting-edge tools and APIs that empower businesses to achieve Enterprise Ready status. Our platform is the backbone for authentication, identity management, authorization, and other essential infrastructures, enabling developers to securely scale their products for large enterprise…

Wonderschool creates software that helps small business owners, especially in childcare, grow their businesses. The company is expanding into new sectors, bringing technology to markets that are ready for change. AI is central to Wonderschool’s work, with OpenClaw agents supporting outreach, customer engagement, enrollment, and compliance. The vision is to let non-engineers set up automations and workflows directly from Slack, without needing to write code. Long term, the aim is for AI agents to autonomously build products. The team values quick iteration and focuses on results. Engineers here want their work to have a direct, visible impact. Role overview This Full Stack Software Engineer - Applied AI role centers on building and refining AI-driven systems, supporting internal teams, and delivering features across the stack. The position is based in San Francisco. What you will do Review code generated by AI tools such as Claude Code and Codex, providing feedback to improve agent performance. Design and document codebases for clarity, update data models, and remove outdated patterns to streamline agent development. Develop and manage the automated product pipeline, including signal detection, AI-generated requirements, and code review workflows. Troubleshoot and resolve production issues with AI agents. Create infrastructure and tools so operations, sales, and customer success teams can manage the platform independently. Translate internal needs into automated, reliable systems. Guide non-engineers in understanding and using new solutions. Build features across the stack using React and TypeScript on the front end, Node.js or Elixir on the back end, and Postgres for data storage. Own the product lifecycle from requirements through deployment. Diagnose and fix issues across the stack. Location This role is based in San Francisco.

Join Mercor: Pioneering AI and Labor Market IntegrationAt Mercor, we operate at the forefront of labor markets and artificial intelligence (AI) research. Collaborating with esteemed AI laboratories and businesses, we deliver the invaluable human intelligence needed for AI evolution.Our extensive network of talent trains cutting-edge AI models, similar to the way educators guide students—by imparting insights, experience, and context that coding alone cannot convey. Currently, over 30,000 experts in our network collectively generate more than $2 million daily.Mercor is pioneering a new realm of work where expertise accelerates AI progress. To realize this vision, we seek an ambitious, dynamic, and dedicated team. You’ll collaborate with researchers, operators, and AI enterprises that are redefining societal systems.As a profitable Series C company valued at $10 billion, we maintain a five-day in-person work schedule at our new San Francisco headquarters.Your RoleWe are on the lookout for a product-focused Fullstack Software Engineer with robust technical expertise and a keen sense for product design. This position is perfect for individuals who relish taking ownership of user-facing features from conception to deployment, while possessing a deep understanding of the business and market dynamics that underpin their creations.In this role, you will enhance core marketplace interfaces that influence how engineers discover Mercor, apply for opportunities, complete assessments, and ultimately earn income. Achieving success here requires sound judgment, comfort with ambiguity, and the knack for delivering high-quality experiences swiftly without unnecessary complexity.This is not a limited backend or frontend role; your responsibilities will span:Frontend: React / Next.js, user journeys, UX nuances, performance, and refinement.Backend: Python and Go services, APIs, data structures, and integrations.Data: MongoDB and SQL, metrics, funnel analysis, and operational integrity.By the end of the process, you will be matched with a team where you can make the greatest impact in one of the following areas:Talent Platform Side – Developing next-gen tools that automate end-to-end recruitment, intelligently connect candidates to roles, and facilitate global hiring with seamless contracts and payments.Applied AI/Human Data Side – Collaborating with top-tier AI researchers from leading labs like OpenAI, Anthropic, and Google to create post-training datasets that enhance foundational model capabilities.

About Us:At LangChain, we strive to revolutionize the accessibility of intelligent agents. Our goal is to provide a robust framework for agent engineering that empowers developers to transition from initial prototypes to production-ready AI agents that can be trusted by teams. What started as a suite of widely embraced open-source tools has evolved into a comprehensive platform designed for the building, assessment, deployment, and management of agents at scale.Currently, our tools, including LangChain, LangGraph, LangSmith, and Agent Builder, are utilized by various teams delivering tangible AI solutions across both startups and large corporations. Millions of developers depend on LangChain to empower AI initiatives at prestigious companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised in our Series B round from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in a phase of rapid growth, continuously innovating new products while ensuring every team member has a significant impact on our development and collaborative processes. LangChain is a place where your contributions can influence the real-world application of this transformative technology.About the Role:We are seeking talented Applied AI Engineers to assist in creating AI agents that enhance various aspects of LangChain, from Marketing and Go-To-Market strategies to Recruiting, Support, Internal Tools, and our Core Product.In this position, you will take ownership of specific problem areas, collaborating closely with relevant teams to design, construct, and deploy production-grade agents, workflows, and applications that revolutionize our operational processes. Your contributions will directly support LangChain’s vision of making intelligent, autonomous software a reality for both our internal teams and our clients. Some projects may be open source, contributing to the LangChain and LangGraph ecosystems while establishing new benchmarks for AI development practices.If you are a full-stack software engineer eager to implement AI agents in practical use cases and witness their impact on business outcomes, we invite you to apply.

Join Our Team as an Applied AI EngineerAt Rowspace, we're at the forefront of AI research and engineering, and we are looking for an Applied AI Engineer to help revolutionize how our platform uncovers vital financial insights. Your week may involve developing and deploying AI agents based on client feedback, creating evaluation frameworks for AI performance, and designing sophisticated retrieval systems to optimize AI within financial workflows.Your ResponsibilitiesIntegrate groundbreaking AI research to develop systems that comprehend financial contexts and business concepts.Construct retrieval pipelines that intelligently extract and synthesize insights from unstructured data sources such as PDFs, emails, and presentations.Develop workflows that empower AI systems to analyze financial relationships, conduct benchmarking, and perform comparative analyses.Design and maintain knowledge graphs that represent intricate financial relationships, entity connections, and market dynamics.Create evaluation frameworks to assess and enhance AI performance in investment research, due diligence, and portfolio monitoring.Implement systems ensuring traceability from AI outputs to primary data sources.Experiment with innovative LLM orchestration patterns and context management techniques tailored for financial applications.Guide the technical direction and establish best practices for AI application development at Rowspace.Engage in rapid iteration with direct customer feedback to continuously enhance AI systems based on real-world usage.Oversee the deployment and operation of production systems end-to-end, ensuring reliability, performance, and maintainability across the technology stack.

About Komodo Health We Bring Data to Life Komodo Health’s mission is to alleviate the global burden of disease. The company’s Healthcare Map integrates de-identified patient data with advanced algorithms and clinical expertise, creating a detailed view of the U.S. healthcare system. This foundation supports a suite of software applications that help partners address complex healthcare challenges, monitor patient behaviors, spot treatment trends, and identify care gaps. Komodo Health values excellence, growth, results, and enjoying the journey. The team brings together professionals from varied backgrounds who share a commitment to improving health outcomes. Role Overview: Applied AI Engineer Healthcare in the U.S. is intricate, and Komodo Health tackles these challenges through data-driven solutions. By mapping the patient journey nationwide, the company helps pharmaceutical firms, payers, and healthcare systems make decisions that improve patient care. Labs@Komodo builds AI-native platforms and systems that turn data into actionable insights. The team developed Marmot, Komodo’s AI-native product, which embeds AI into both the user interface and development workflow. By combining Komodo’s healthcare data with modern large language models (LLMs), Marmot delivers real-world insights for healthcare stakeholders. What You Will Do Design and implement end-to-end AI solutions for real products and internal tools. Work at the intersection of applied research, engineering, and product development. Integrate modern AI techniques into scalable, production-ready systems. Collaborate with product, platform, and data teams to build AI capabilities that advance healthcare data use. Location San Francisco, CA

About the Role sfcompute is hiring an Applied AI Engineer in San Francisco, CA. This position focuses on building and deploying AI models that support real business needs. The work involves using advanced technologies to create practical solutions that improve how teams operate. What You Will Do Develop and implement AI models tailored to business goals Work closely with teams across the company to understand their challenges Deliver solutions that boost productivity and efficiency

About the RoleHinge Health is a leading digital health company dedicated to delivering innovative, evidence-based solutions for musculoskeletal (MSK) pain management. Our unique approach combines personalized exercise therapy with virtual care, empowering individuals to effectively manage chronic pain and enhance their quality of life, all while reducing healthcare costs. By partnering with employers and health plans, we aim to scale our solutions and improve overall employee health and productivity.Join our dynamic AI platform team at Hinge Health, where we are at the forefront of revolutionizing how businesses harness the power of Artificial Intelligence. We are searching for a Senior Software Engineer with a robust background in software engineering and a passion for AI to contribute to our mission.As a Senior Software Engineer, you will play a crucial role in developing and maintaining vital components of our AI infrastructure. You will collaborate closely with engineers and data scientists to ensure the platform effectively supports the intricate needs of AI models and machine learning workflows.Our team thrives in a continuous deployment DevOps culture, taking pride in maintaining high standards of code in production. Our production systems leverage technologies such as React Native, React, Node.js, TypeScript, Python, Nestjs, GraphQL, Docker, AWS, Postgres, Redis, Apollo, and Redux. We follow a trunk-based CI/CD workflow and uphold the highest security and compliance standards, including HIPAA, HITRUST, SOC 2, and CCPA.What You'll AccomplishCollaborate with the AI/ML team to effectively integrate models and agents into the platform, ensuring seamless deployment.Write clean, maintainable code with a focus on performance, reliability, and scalability.Develop and sustain APIs and microservices that facilitate AI model and agent deployment and data processing.Troubleshoot and resolve platform performance, integration, and reliability issues.Work alongside cross-functional teams to gather technical requirements and deliver efficient solutions.Contribute to ongoing improvements in the AI platform’s systems and workflows, providing ideas and feedback during architectural discussions.Hinge Health Hybrid ModelWe recognize that both remote and in-person work offer unique benefits, and we aim to capitalize on the strengths of both approaches. Employees in hybrid roles enjoy the flexibility of working from home while also engaging in person as needed.

Join lilasciences as a Product Lead specializing in Software and Applied AI, where you will spearhead innovative projects that leverage cutting-edge AI technologies. In this pivotal role, you will collaborate with cross-functional teams to define product vision, strategy, and execution, ensuring alignment with user needs and market trends.

About EventualAt Eventual, we recognize that every revolutionary AI application, whether it’s foundational models or autonomous vehicles, depends on the ability to process vast amounts of images, videos, and intricate data. Unfortunately, current data platforms like Databricks and Snowflake are optimized for spreadsheet-like analytics and not for the petabytes of multimodal data essential for AI. This leads to teams squandering months on fragile infrastructure instead of focusing on research and product development.Founded in 2022, our mission is to transform the way data is queried—whether it’s images, video, audio, or text—making it as straightforward as working with tables, while ensuring scalability for production workloads. Our open-source engine, Daft, is meticulously engineered for real-world AI systems, coordinating with external APIs, managing GPU clusters, and effectively handling failures that traditional engines cannot. Daft is already powering critical workloads at leading companies like Amazon, Mobileye, Together AI, and CloudKitchens.We have built a world-class team drawn from industry giants such as Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, and Tesla, and we’ve quadrupled in size within just one year. Backed by Series A and seed funding from investors including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, and Array.vc, we’re now looking to double our team. Join us at Eventual as we embark on this exciting journey!We're seeking passionate individuals eager to collaborate in a close-knit team environment, working together four days a week at our Mission District office in San Francisco.

About the RoleThorin is actively seeking a talented Applied AI Engineer to join our dynamic team in San Francisco. As a pivotal member of our engineering group, you will play a crucial role in laying the groundwork for our user-centric products. This position is perfect for full-stack developers who are enthusiastic about taking ownership of features from inception to deployment, delivering high-quality results swiftly.You will have the opportunity to engage with our technology stack comprehensively, developing everything from intuitive frontend interfaces to robust backend processes.This role emphasizes autonomy and responsibility, allowing you to make a significant impact on our innovative projects.Your ResponsibilitiesDevelop and launch key product features from initial concept through to production readiness.Oversee both frontend and backend development across essential workflows.Establish performance and quality standards for our high-achieving engineering team.Influence product strategy through regular feedback from users and stakeholders.Rapidly innovate within a startup environment, contributing to our zero-to-one initiatives.

About ArtisanAt Artisan, we are pioneers in creating fully autonomous AI employees – not mere chatbots or copilots, but digital workers capable of performing meaningful tasks.Our flagship product, Ava, is an AI-powered Business Development Representative (BDR) utilized by hundreds of companies. Ava excels at researching leads, crafting and sending emails in clients' unique voices, managing complex outbound sequences, autonomously optimizing her performance, and even addressing objections while scheduling meetings. She is not just a tool; she is a collaborative teammate.As a proud Y Combinator W24 company, we have successfully raised over $35 million in funding and are currently achieving over $8 million in annual recurring revenue (ARR). We are now embarking on the development of Ava 2.0, which will redefine the capabilities of AI employees. The engineering challenges involved are substantial, and the scope of our project is vast.Role OverviewJoin our innovative team as the third Applied AI Engineer at Artisan! You will be instrumental in pushing the boundaries of AI employee capabilities and guiding our product's future direction.Evaluate LLMs: Select optimal models for various tasks while considering cost, latency, reliability, and accuracy.Architect Prompt Frameworks: Design agent behaviors for Ava's essential workflows such as email generation, chat interactions, meeting scheduling, prospect research, and more.Optimize Multi-Step Agent Chains: Implement retrieval-augmented generation (RAG), integrate web searches, and utilize tools like CRMs and APIs.Drive Infrastructure Decisions: Lead choices related to routing, orchestration, evaluation loops, and persistent memory for agents.Build Safety and Trust Mechanisms: Collaborate with the product team to design user guardrails, fail-safes, and success metrics.Explore Emerging Modalities: Investigate and deploy voice AI, talking head technology, and multi-modal reasoning to enhance Ava's human-like interactions.Design Autonomous Agent Workflows: Create workflows that enable strategic decision-making, real-time self-optimization, and measurable outcomes.Location: San Francisco, New York, or Remote USATeam: AIReports to: CPTO, Sam Stallings

Join Our Mission at Abby CareAt Abby Care, we are dedicated to transforming the landscape of family caregiving, addressing one of the most significant challenges of our time. Our goal is to empower over 50 million unpaid family caregivers across the United States by providing them with the training and support they need to get compensated for the invaluable care they provide at home.We are developing a cutting-edge, tech-driven family-first care platform designed to enhance care delivery, improve health outcomes, and ensure a superior experience for families nationwide. As we expand our impact, we are seeking passionate individuals to join our team. With partnerships alongside leading insurance providers, healthcare organizations, and community groups, we are backed by top-tier, mission-driven venture capitalists who share our vision of supporting families throughout the country.Our team comprises high-caliber professionals with backgrounds at renowned companies such as Uber, Scale AI, DoorDash, Dropbox, and Meta. Together, we are reimagining family caregiving.Your Role as an Applied AI EngineerWe are on the lookout for a skilled and motivated Applied AI Engineer to join our dynamic team. Reporting to the VP, Head of Engineering, this full-time position is based in San Francisco, CA, with an in-person presence required four days a week.In this role, you will play a crucial part in designing and building AI-driven products that serve as intelligent copilots for families and healthcare providers. You will create AI systems that facilitate family caregiving, enhance clinician support in care delivery, and explore innovative home-based care models. Your work will involve hands-on engagement with AI models and real-world clinical and operational data, contributing to the evolution of AI-assisted caregiving and shaping the future of care as a key early engineer.

Role Overview:As an Applied AI Engineer at Mem0, you'll lead the charge from concept to execution. Your mission is to transform abstract customer use cases into tangible proofs-of-concept that vividly demonstrate Mem0's capabilities. This entails rapid full-stack prototyping, leveraging AI tools, and rigorously experimenting with memory retrieval methodologies until the end-to-end use case is operational. Collaborating closely with Research and Backend teams, you'll clearly communicate trade-offs and deliver successful prototypes ready for production refinement.Your Responsibilities:Develop Proofs of Concept: Create comprehensive demos (UI + APIs + data) that seamlessly integrate Mem0 into customer workflows.Innovate in Memory Retrieval: Experiment with various embeddings, indexing techniques, hybrid search, re-ranking, chunking/windowing, prompts, and caching to achieve optimal task-level quality and latency.Collaborate on Prototypes: Implement groundbreaking ideas and techniques sourced from academic research, compare them against established baselines, and adopt the most effective solutions.Design Evaluation Frameworks: Establish small gold sets and lightweight metrics to assess POC success; equip demos with basic telemetry.Integrate AI Tools: Combine LLMs, vector databases, Mem0 SDKs/APIs, and third-party services into cohesive workflows.Foster Close Collaboration: Work alongside Backend teams to establish clean contracts and data models; collaborate with Research on hypotheses; share insights and future steps.Document and Handoff: Produce clear documentation, scripts, and templates to facilitate rapid production transition by Engineering.Minimum Qualifications:Full-Stack Proficiency: Experience with Next.js/React for front-end development and Python backends (FastAPI/Django/Flask) or Node.js as required.Proficient in Python and TypeScript/JavaScript; capable of building APIs, wiring data models, and deploying quick demos.Hands-on experience with the LLM/RAG stack: embeddings, vector databases, retrieval strategies, and prompt engineering.Proven ability to rapidly prototype: transforming ideas into demos within days, not months; clear documentation of outcomes and trade-offs.Capacity to design small, impactful evaluations for use cases (quality + latency) and iterate based on data-driven evidence.Outstanding communication skills with Research and Backend teams; ability to produce crisp specifications, readable code, and honest status updates.

Role Overview Paraform is hiring an Applied AI Engineer in San Francisco. This role focuses on building and deploying AI systems that directly serve real users. The ideal candidate brings 2-5 years of experience, a strong grasp of modern LLM-based technologies, and a track record of turning advanced models into reliable product features. Success in this role depends on sound product sense and the ability to weigh trade-offs between LLM and traditional machine learning approaches. Experience with LLM-powered applications, retrieval systems, agentic workflows, or automation is valuable. Familiarity with classic ML techniques, such as ranking, recommendation, or classification, will help in designing hybrid systems that balance performance, cost, and reliability. What You Will Do Design and build AI systems to improve matchmaking, ranking, and automation in the Paraform marketplace. Develop LLM-driven features, including retrieval pipelines and agentic workflows, to streamline recruiter and company interactions. Own systems end-to-end: from data pipelines and model design to deployment, monitoring, and iteration in production. Work closely with product managers, ML engineers, and full-stack teams to deliver AI capabilities that shape marketplace outcomes. Create evaluation frameworks to measure real-world performance, reliability, and business impact, not just offline metrics. Set best practices for building and maintaining production AI systems, balancing model quality, cost, latency, and maintainability. Advance the integration of AI into product experiences across the platform. What We Look For 2-5 years of experience at an AI-focused startup (Series A through D). Background working on products with a broad user base, beyond single-enterprise deployments. Proficient in Python and Typescript. Experience developing agentic systems that drive measurable business or user outcomes. Comfort with ambiguity and building in 0 to 1 environments. Ability to communicate technical trade-offs clearly to non-technical stakeholders.

Applied AI Engineer (On-Site, San Francisco)About UsAt Delve, we are pioneering an AI-native platform that revolutionizes compliance processes, turning cumbersome manual tasks into seamless automated workflows.As the fastest growing compliance technology firm in the industry, we empower hundreds of companies, such as Lovable, 11x, and WisprFlow, to reclaim countless hours by eliminating compliance busywork and allowing them to concentrate on their core mission: providing secure support to their customers.Our dynamic team consists of passionate builders—former founders, operators, and engineers—dedicated to addressing real challenges faced by our clients. Our backgrounds span prestigious institutions like Stanford, MIT, Berkeley, and OpenAI, and we are supported by top-tier investors, including Insight Partners, General Catalyst, and Y Combinator. Following our recent $32 million Series A funding, we are in an exciting phase of rapid expansion!Step by step, we are committed to eradicating busywork for humanity.Role OverviewAs an Applied AI Engineer, you will be crucial in translating cutting-edge AI research into practical applications. Your primary focus will be on converting state-of-the-art techniques into market-ready products. You will work closely with product engineers to design, implement, and roll out AI-powered features across various stages. This position offers immense impact, allowing you to lead projects from conception to production, influencing both our products and technical roadmap.You will collaborate with a top-tier team of engineers with research expertise to develop innovative, scalable systems. In our fast-paced startup environment, you’ll have the chance to shape our technical direction, share ideas across the entire stack, and quickly advance into leadership roles as we grow. We prioritize first-principles thinking and a proactive attitude—providing you with the autonomy to experiment and iterate towards optimal solutions.What You Will DoDrive AI Innovation: Research, prototype, and develop cutting-edge AI systems that enhance our products and solve core technical challenges.End-to-End Development: Design, implement, and deploy AI pipelines and systems—from evaluation design and benchmarking to product integration—ensuring high performance, reliable observability in production, and comprehensive safety and transparency.

About Scribd:At Scribd Inc. (pronounced “scribbed”), we are driven by a mission to ignite human curiosity and foster knowledge sharing. Join our innovative team as we craft a world enriched with stories and insights, democratizing the exchange of ideas through our diverse products: Everand, Scribd, Slideshare, and Fable.This job opening represents a confirmed, active position within our organization.We cultivate a culture where authenticity and boldness thrive; where we engage in meaningful debates and embrace unexpected challenges. Every team member is empowered to take initiative as we prioritize our customers' needs.Our workplace philosophy emphasizes a balance between individual flexibility and community engagement. With our Scribd Flex benefit, employees can collaborate with their managers to choose a work style that suits their personal needs. Key to Scribd Flex is our commitment to intentional in-person interactions, which are vital for fostering collaboration, culture, and connections. Thus, occasional in-person attendance is expected from all Scribd employees, regardless of their remote work location.What do we seek in our new team members? We value “GRIT”—the combination of passion and perseverance toward achieving long-term goals. At Scribd, we recognize the potential this mindset unlocks and encourage our employees to embody a GRIT-ty approach in their work. This means setting and achieving Goals, delivering Results in their responsibilities, contributing Innovative solutions, and positively influencing our broader Team through collaboration and a constructive attitude.Join Our Growth Platform TeamThe Growth Platform team at Scribd empowers marketers, lifecycle teams, and partner channels by providing MarTech solutions that enhance efficiency, enable data-driven decisions, and support scalable user acquisition across our brands: Scribd, Everand, SlideShare, and Fable.Our focus is on building and maintaining robust systems that facilitate campaign execution, optimize landing pages, manage tracking and attribution, and integrate with third-party tools for cross-channel marketing and analytics. We prioritize scalability, performance, and reliability, ensuring our partners have the necessary tools to drive user growth. Our team values collaboration, pragmatic solutions, and a commitment to continuous improvement.

Join Scale AI as a passionate and technically adept AI Research Engineer within our Enterprise Evaluations team. This pivotal role is integral to our goal of providing the industry's leading Generative AI Evaluation Suite. You will actively contribute to the foundational systems that guarantee the safety, dependability, and ongoing enhancement of LLM-driven workflows and agents for enterprise clients. The perfect candidate will possess a robust understanding of large language models, a fervor for addressing intricate evaluation dilemmas, and the ability to excel in a fast-evolving research atmosphere. We seek an engineer who can innovate, remains informed about the latest studies in AI evaluation, and is enthusiastic about incorporating cutting-edge research concepts into our workflows to create top-tier evaluation systems.

Role Overview Arcade is looking for a Senior Applied AI Engineer in the San Francisco Bay Area. This position focuses on building solutions that use artificial intelligence to improve user experiences across Arcade’s products. What You Will Do Work with cross-functional teams to design and develop AI-driven features. Apply expertise in AI algorithms and software development to solve challenging problems. Contribute to the direction and impact of Arcade’s AI initiatives. Who We’re Looking For Extensive experience with artificial intelligence technologies. Strong background in software development and AI algorithms. Comfort working collaboratively with teams from different disciplines.

Join Databricks as a Staff Backend Software Engineer on our cutting-edge AI Platform team. We are on a mission to simplify data and AI for enterprises worldwide. In this role, you will be pivotal in developing robust backend systems that support our AI initiatives, driving innovation and efficiency.As a member of our dynamic team, you will work with the latest technologies and methodologies to create scalable solutions that meet the needs of our clients. Your expertise will help shape the future of our AI Platform, delivering exceptional user experiences and insights.