Applied AI Engineer

Join the Visionaries at Automat!At Automat, we are a collective of innovative technologists hailing from prestigious backgrounds at Google Creative Lab and Samsung’s innovation Think Tank. Our mission is to transform the future of business through intelligent agents that enhance operational efficiency and eventually manage enterprises autonomously. We are le…

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 enterprises.Having recently secured a $100M Series C funding round, valuing the company at $2B, we are supported by leading investors such as Meritech, Sapphire, Greenoaks, Craft, Abstract, and Audacious. WorkOS is proud to serve many of the fastest-growing AI companies, including OpenAI, Cursor, Perplexity, Vercel, and Plaid.As AI technology evolves, WorkOS stands at the forefront of Human and Agent Authentication, Identity, and Access Control, helping businesses navigate crucial questions about agent identity and permissions. Our rapidly expanding customer base features hundreds of innovative software companies developing the next generation of enterprise-ready solutions.About the RoleWe are assembling an Applied AI team dedicated to significantly enhancing productivity across Engineering, Sales, Support, and Operations while also developing AI functionalities for our clients.As an Applied AI Engineer, you will design and deploy transformative AI systems that redefine how WorkOS develops, markets, and supports its software. You will focus on creating robust tools and workflows that are essential for daily operations, while also exploring novel AI capabilities for our users.Join a small, high-ownership team that:Identifies challenges based on measurable impact.Rapidly transitions from idea to prototype to production in days or weeks.Quickly adapts to evolving models, tools, and best practices.This role offers substantial visibility across the organization.What You’ll DoCollaborate closely with Engineering, Sales, Support, and Operations to identify high-impact internal challenges where AI can enhance efficiency or facilitate new workflows.Design and construct tools that integrate seamlessly into daily operations—agents, automations, and workflows that are reliable, observable, and easy to maintain.Leverage LLMs, embeddings, retrieval systems, and tool-calling to connect with documents, Slack, GitHub, CRM systems, analytics, support frameworks, and internal services.Transform repetitive, multi-step manual tasks into streamlined, AI-driven processes that span various applications and data sources.Stay informed about emerging models and tools, conduct focused experiments, and assist the team in continuous improvement.

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.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.

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.

RoleAs a Software Engineer specializing in Applied AI at OpenEvidence, you will be instrumental in developing comprehensive systems that harness cutting-edge AI models to create impactful, user-centric products.We seek exceptional builders who thrive outside conventional boundaries. Our engineers engage across various projects and products, taking ownership to maximize their impact.About UsOpenEvidence stands as the leading medical AI platform globally.In just over a year, over 40% of US clinicians have adopted our solution, driven by product-led growth and word-of-mouth recommendations. We are a $12 billion company with a talented 30-person engineering team hailing from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a small cadre of exceptional, autonomous builders who are empowered to take ownership and drive swift progress. We are expanding our team to capture an extraordinary opportunity to establish a benchmark platform for medical AI.If you are a top-tier engineer or scientist eager to innovate at the forefront of technology and deliver meaningful results that affect millions of lives, we want to connect with you.CultureWe believe that work should reflect a world-class commitment. Innovating from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, and we set the bar at uncompromising excellence. We understand that groundbreaking technologies are only possible through complete ownership. Significant achievements arise when individuals take decisive action.Who are you?If you are seeking a typical 9-5 job or merely wish to write papers, this position is not for you. If you are ready to dive in, get hands-on, face challenges head-on, and create something impactful that can reach millions and generate significant revenue, this role might be your perfect fit.The ideal candidate is a brilliant builder—intelligent, driven, resourceful, independent, meticulous, motivated, hardworking, and humble. Does that sound rare? It is indeed rare; we currently have only 30 such individuals, and we are eager to find more.LocationAll full-time engineering roles require in-person attendance five days a week in San Francisco or Miami.

About ShepherdAt Shepherd, we are a pioneering Managing General Underwriter (MGU) committed to revolutionizing commercial Property & Casualty insurance specifically for high-hazard industries. Our goal is to create a seamless risk management experience for the visionaries and builders who are shaping the physical landscape. We ensure protection from the initial concept stage through construction and into the long-term operational phase.We are developing the fastest and most intelligent commercial risk platform, where automation, data, and underwriting expertise converge to deliver:Accelerated decision-makingEnhanced and precise pricing strategiesImproved risk management outcomesWith Shepherd, safety, efficiency, and quality enhance one another. We are not simply modernizing insurance; we are constructing the risk infrastructure for the next generation of financial services, where technology, underwriting, and strategic partnerships work in unison to support critical industries and the progress they enable.Our InvestorsShepherd has successfully raised over $20M from prestigious investors such as:Spark CapitalCostanoa VenturesY CombinatorSusa VenturesIntact VenturesAnd many othersJoin Our TeamWe are a passionate group of technologists and insurance experts who bridge the gap between innovation and tradition. Discover more about our values and team on our About page.Position SummaryWe are seeking a talented Software Engineer specializing in Applied AI to develop intelligent systems that will enhance our underwriting and pricing mechanisms. This role is positioned at the convergence of product engineering, AI infrastructure, and the practical applications of insurance workflows.You will be responsible for designing and deploying production-level AI systems that significantly impact our operational processes.

About HebbiaHebbia is an innovative AI platform designed specifically for investors and bankers, empowering them to generate alpha and unlock new opportunities.Founded in 2020 by George Sivulka and backed by industry leaders like Peter Thiel and Andreessen Horowitz, Hebbia supports investment decisions for major firms including BlackRock, KKR, Carlyle, Centerview, and accounts for 40% of the world's largest asset managers. Our flagship product, Matrix, is recognized for its unparalleled accuracy, speed, and transparency in AI-driven analysis, managing assets exceeding $30 trillion globally.We provide critical insights that give finance professionals a competitive advantage by revealing signals that are invisible to the human eye and identifying hidden opportunities while expediting decision-making with remarkable speed and certainty. We aim to revolutionize the way capital is allocated, risk is mitigated, and value is generated across markets.Hebbia is not just a tool; it is the competitive edge that enhances performance, alpha, and market leadership.The TeamOur Agents team is dedicated to building sophisticated reasoning, copiloting, and retrieval capabilities that unlock significant insights for real-world applications. We develop everything from foundational document understanding features to co-piloting experiences for matrix and extensive, multi-source research. Our proprietary agentic frameworks are designed for scalability, utilizing distributed systems.We focus on creating systems that are not only successful but also reliable, explainable, and adaptable for the vast data our clients encounter. Our mission is to unveil the unknowable unknown for customers worldwide.Our goal is to create a product that becomes indispensable to our users, offering an experience as delightful as their favorite consumer products. We prioritize swift innovation and the development of first-of-their-kind systems.

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...

Role overview mercor is looking for a Software Engineer, Applied AI to join the team in San Francisco. This role centers on building software products that use artificial intelligence and machine learning to solve practical challenges. The team collaborates to design, develop, and improve solutions that make a real impact. What you will do Create software that uses AI techniques for real-world applications Collaborate with engineers and specialists to design and launch new features Support ongoing projects that push forward the capabilities of artificial intelligence Location This position is based in San Francisco.

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.

Innovate with AI to Shape the FutureAt asari.ai, we are dedicated to empowering individuals to design intricate systems and tackle some of the world's most challenging issues alongside our reliable and scalable AI agents.Our team is recognized for its award-winning AI research and is supported by esteemed investors such as Eric Schmidt, Caltech, Jeff Dean, and JP Millon.We prioritize agility, embrace first principles thinking, and build with intention. We believe that exceptional outcomes arise from individuals taking ownership, growing together, and sharing both successes and challenges.We Want to Connect with You!We are constantly on the lookout for passionate individuals who resonate with our mission.If you don't find a specific role that aligns with your expertise, we still encourage you to reach out if you are driven and eager to contribute!Please share your unique strengths with us!Our Compensation, Benefits, and PerksCompetitive salaryStock optionsComprehensive health insurance (100% coverage), dental (90% coverage), and vision (90% coverage) with 50% coverage for dependents.Wellness initiatives (e.g., gym, fitness classes, physical therapy).401k retirement plan with 100% matching contributions up to 4% of your salary.Commuter benefitsDaily meals provided in the officeBudget for training and development, including attendance at domestic conferences.Flexible working hoursUnlimited paid time off (subject to manager approval)Team-building activities and celebrations

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

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

Company OverviewAt Canvas Medical, we are revolutionizing everyday healthcare through our innovative EMR platform designed for healthcare automation. Our mission is to empower care teams with advanced software solutions that streamline data integration, automate workflows, and foster collaboration among developers and clinicians to tackle the most pressing challenges in healthcare. Backed by some of the world’s leading technology investors, we are committed to transforming healthcare delivery.The RoleWe are seeking an Applied AI Operations Lead to join our GTM Operations team. In this pivotal role, you will oversee the deployment, adoption, and governance of AI agents across our diverse customer base. Acting as the crucial link between our Applied AI engineering team and healthcare organizations, you will facilitate the implementation of Canvas's cutting-edge AI capabilities to enhance clinical and operational processes.As a hands-on expert, you will collaborate directly with customers to deploy and manage AI agents that utilize foundation model APIs and our server-side SDK. This entails working closely with clinical, operational, and financial stakeholders to tailor agent configurations for peak performance while establishing robust governance frameworks to ensure trust in AI-driven automation.This position is perfect for individuals who possess a strong technical background in LLM-based systems, exceptional interpersonal skills, and a genuine passion for healthcare innovation. You will translate complex AI capabilities into engaging value propositions, guide customers through the change management process, and develop repeatable playbooks to accelerate AI adoption throughout the Canvas community. Your contributions will have a direct impact on how countless care teams leverage AI to improve patient outcomes and alleviate administrative burdens.You will work alongside our Applied AI engineering team to provide valuable field insights that inform product development, ensure seamless implementations in collaboration with customer success, and partner with technical marketing to highlight the transformative effects of AI agents at Canvas. As AI becomes integral to healthcare delivery, you will play a key role in helping our customers unlock the full potential of healthcare automation.

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 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

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.