Applied AI Engineer

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

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.

Canvas Medical is at the forefront of transforming healthcare with our cutting-edge electronic medical records (EMR) and payments platform. Our mission is to create a seamless environment where developers and clinicians can collaborate effectively to tackle the most pressing challenges in healthcare. Backed by some of the world's leading technology investors, including those who have funded notable health tech innovators like GoodRx, Oscar Health, and Hims & Hers Health, we are on a journey to revolutionize the way healthcare is delivered.The RoleWe are seeking a talented Applied AI Software Engineer to spearhead the evaluation of our developing agents and the post-deployment fleet of agents in Canvas, aimed at automating tasks for our clients. You will leverage state-of-the-art foundation model inference and fine-tuning APIs, along with our server-side SDK which is equipped with a wealth of tools and contextual information essential for optimal agent performance. Your responsibilities will include designing and executing comprehensive evaluation experiments that assess performance, safety, and reliability across various clinical, operational, and financial scenarios.This position is perfect for individuals with substantial experience in evaluating LLM-based agents on a large scale. You will be tasked with creating precise unit evaluations and end-to-end assessments, establishing expert-determined ground truth outcomes, and managing iterations across model variants, prompts, tool utilization, and context window configurations. Your insights will play a critical role in guiding model selection, fine-tuning, and go/no-go decisions for AI features utilized in production environments.Collaboration is key; you will work closely with product managers, machine learning engineers, and clinical informatics teams to ensure our AI agents are not only effective but also reliable and robust under real-world healthcare constraints. Additionally, you will partner with technical product marketers and developer advocates to communicate the unique value propositions of Canvas's AI agents to our broader developer community and the market.

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.

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.

Ironclad is the premier AI contracting platform that revolutionizes the way agreements are treated as valuable assets. Contracts are processed more swiftly, insights emerge instantaneously, and workflows are seamlessly advanced—all while maintaining your control. Whether you are engaged in buying or selling, Ironclad streamlines the complete process on a single intelligent platform, granting leaders the visibility necessary to stay ahead of the curve. This is why the most innovative organizations in the world, such as OpenAI, the World Health Organization, and the Associated Press, trust Ironclad to expedite their operations.Consistently recognized as an industry leader, Ironclad has been named a Leader in the Forrester Wave and the Gartner Magic Quadrant for Contract Lifecycle Management. We have also been acknowledged as a Great Place to Work by Fortune and one of Fast Company’s Most Innovative Workplaces. With backing from top investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton, we are poised for continued growth. For more details, visit www.ironcladapp.com or follow us on LinkedIn.AI Engineering at IroncladAt Ironclad, we are accelerating our AI initiatives to transform how contracts are created, managed, and executed throughout organizations. We are in search of a Generative AI Application Developer to swiftly develop and implement high-impact legal AI product features.In this role, you will be the go-to expert for AI feature development, leveraging our existing AI platform. You will establish a Prompt Strategy, utilizing established Retrieval-Augmented Generation (RAG) services and Large Language Model (LLM) APIs to create intelligent product capabilities such as summarization and redlining.Collaboration with product managers and designers will be key as you translate user requirements into production-ready LLM application logic. Your success will be determined by your ability to design optimal context inputs and craft effective prompts that maximize the accuracy, relevance, latency, and reliability of user-facing features.

Wonderschool develops technology to support childcare providers in home-based, government, and nonprofit settings. The platform helps providers run programs that meet business needs, while parents use a marketplace to find childcare options. Role overview This Early Career Software Engineer position focuses on applied AI. The role is based in San Francisco, with on-site work required Tuesday through Thursday to foster collaboration. The engineer will work on projects that shape how childcare providers and parents use the Wonderschool platform. Curiosity about technology and a practical approach to building scalable AI solutions are valued here. What you will do Design, build, and maintain software features that use AI. Collaborate with product managers, designers, and engineers to define requirements and deliver new features. Develop modular, task-oriented AI agents using frameworks such as LangChain or Rasa, focusing on natural language understanding, dialogue management, and action execution. Troubleshoot and resolve technical issues to keep the platform dependable. Stay informed about trends and best practices in software engineering and AI. This position is on-site in San Francisco three days a week: Tuesday, Wednesday, and Thursday.

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 UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

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.

About Sprinter HealthAt Sprinter Health, we are dedicated to transforming healthcare access by providing services directly in patients' homes. With nearly 30% of U.S. patients forgoing essential preventive and chronic care due to transportation barriers, we aim to prevent emergency room visits, which cost the healthcare system over $300 billion each year.Leveraging cutting-edge technology akin to that of leading marketplace and last-mile delivery platforms, we ensure care reaches those who need it the most. Our impact is significant, having served over 2 million patients across 22 states, conducting more than 130,000 in-home visits, and achieving a remarkable 92 NPS. Our dynamic team of healthcare professionals and tech innovators has successfully raised over $125 million from top investors such as Andreessen Horowitz, General Catalyst, GV, and Accel, securing a strong multi-year runway for growth.About the RoleWe are assembling an innovative Automated Intelligence team tasked with integrating AI into every facet of our care model—from generating clinical summaries and predicting patient risks to developing workflow agents and enhancing patient interactions. This role is ideal for an engineer eager to rapidly deploy production-level AI systems, navigate complex healthcare and logistics data, and create tools that significantly improve patient outcomes.Office LocationOur company operates in a hybrid model with offices located in San Francisco and Menlo Park, allowing for a balance between in-office collaboration and flexible work arrangements.What You Will Do:Develop and implement AI-driven features that enhance patient care, streamline coordination, and optimize clinical workflows.Create production systems utilizing LLMs, RAG, embeddings, and multi-agent architectures.Launch products including clinical visit summaries, patient risk models, and voice-enabled coordination assistants.Design workflow agents to automate scheduling, follow-ups, and operational tasks.Collaborate closely with product, clinical operations, and data partners to deliver measurable improvements.Contribute to defining the technical vision, tools, and standards for a new team.

Discover OktaAt Okta, we are redefining how identity is managed across technologies, empowering individuals to securely access any app or device with ease. Our versatile platforms, the Okta and Auth0 Platforms, ensure that identity remains the cornerstone of security and scalability for businesses worldwide.We embrace diverse perspectives and experiences, seeking not just qualifications but a passion for learning and innovation that can enhance our company culture.Join us in crafting a future where identity truly belongs to the user.Our Business Technology team is dedicated to developing secure, intelligent platforms that support our global workforce. The AI & Automation team is at the forefront, integrating next-generation AI tools and automation to optimize workflows in IT, HR, Finance, Sales, Marketing, and Customer Support.We focus on impactful applications: AI-driven virtual agents, intelligent copilots, internal services, and AI-enhanced self-service portals, all designed with scalability, governance, and user experience in mind.The OpportunityAs a Senior Software Engineer, Applied AI, you will be instrumental in designing and implementing user-centric and backend systems that harness Generative AI to elevate internal processes and experiences. This position requires robust full-stack engineering capabilities, with a strong emphasis on AI integration and the creation of intuitive, high-performance user interfaces that render AI tools accessible and beneficial for our internal stakeholders.Collaborating closely with fellow engineers, product managers, and designers, you will help develop secure, intelligent solutions for our workforce at Okta.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

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 leaders in redefining Enterprise AI Agents and Intelligent Document Processing, creating cutting-edge tools and infrastructure to seamlessly integrate AI advancements into practical applications.We cherish curiosity, teamwork, and impactful contributions over strict credentials. If you are passionate about AI and automation, excel in dynamic and creative settings, and yearn to engage in groundbreaking projects, we invite you to apply!While this is a senior role, we believe that unique talents and perspectives can surpass traditional experience metrics. We seek an individual who can make an immediate impact from day one and contribute to our team’s learning journey.Your RoleAs an Applied AI Engineer, you will operate at the crossroads of product development, engineering, and research. You will work hand-in-hand with skilled engineers and end users to create innovative tools for our internal teams and external clientele. Your contributions will help shape technical solutions, guide strategic initiatives, and enrich our company culture.Key Responsibilities:Collaborate with product and engineering teams to gain insights into customer challengesResearch and implement real-world applications of advanced AI modelsDesign and execute impactful solutions for both internal tools and customer-facing productsInfluence engineering practices, guide product development, and foster a collaborative cultureWhat Motivates You:A passion for curiosity, creativity, and quick adaptationCreating full-stack applications that bring AI to lifeKeeping abreast of the latest trends in AI and LLM prompting techniquesChallenging the limits of what is achievable with AI agentsThriving in fast-paced, collaborative environments

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.

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.

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