Lead end-to-end delivery of complex healthcare AI products, including agentic workflows, RAG systems, and production services.
Collaborate with Product, Engineering, Data, and clinical teams to translate stakeholder needs into validated, access-aware AI workflows.
Own evaluation frameworks, model optimization, and human-review controls to keep high-stakes workflows safe, reliable, and governable.
NeueHealth is a value-driven healthcare company that aligns the interests of health consumers, providers, and payors to make healthcare accessible and affordable. They deliver clinical care through owned clinics and provider partnerships while enabling performance-based care with technology and services.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Design and implement RAG pipelines and tool-calling architectures for conversational AI agents in healthcare.
Build production Python code using LangChain and modern LLM frameworks to solve novel healthcare AI problems.
Own end-to-end deployments, monitoring, and customer partnerships in production healthcare environments.
Hippocratic AI is building the first healthcare-only, safety-focused large language model to transform patient outcomes. The company is backed by leading healthcare and AI investors, with a team of physicians, hospital leaders, and AI pioneers from top institutions.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
Build AI features inside real clinical workflows, like checking notes against payer and compliance requirements before finalization.
Design evals to prove those features are right and keep them honest as models change.
Prototype AI capabilities, including voice agents, and take the best from prototype to production.
Ease builds the AI-native operating system for behavioral health, replacing disconnected tools with one platform for CRM, EHR, and revenue cycle management. Backed by a $41M Series A, this rapidly growing NYC team has no product managers—engineers talk to customers and ship in days.
Build and deploy AI solutions that reduce administrative burden and improve care management.
Implement intelligent automation for scheduling, care plan updates, and post-visit tasks.
Integrate AI solutions with existing EHR and resident management systems while ensuring HIPAA compliance.
Curana Health is a national leader in value-based care for senior living communities and skilled nursing facilities, providing on-site primary care, ACOs, and Medicare Advantage plans. Founded in 2021, the company has over 1,000 employees and serves 200,000+ seniors across 32 states, with a culture focused on collaboration and improving senior care.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Design and build automated evaluation pipelines for AI agents.
Develop testing frameworks for reasoning, multi-turn conversations, and adversarial scenarios.
Own the evaluation architecture and integrate observability tools in a fully remote team.
A company building production-grade AI agents and systems. They operate in a fully remote, globally distributed environment with a culture focused on innovation, autonomy, and continuous improvement.
Lead client engagements from pre-sales demos through architecture, integration, launch, and post-launch support.
Design and build production AI agent systems integrating with healthcare platforms while meeting HIPAA requirements.
Run technical working sessions and present solutions to executive and technical stakeholders.
They deliver production AI agent deployments for health systems, providers, and life sciences organizations. Their culture emphasizes practical, adaptable problem-solving and clear client communication.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
Developing and optimizing prompt engineering strategies, including evaluation and iteration.
Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.
Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.
Run experiments that improve classification accuracy and ship winners to production.
Design and iterate on classifiers using prompting, retrieval, fine-tuning, and multi-model approaches.
Build evaluation sets and metrics; collaborate with clinical ops and legal teams.
Truemed enables health and wellness merchants to accept HSA/FSA funds by determining product eligibility for pretax spending. We are a Series A startup supporting brands like Peloton, focused on helping people invest in healthy habits.
Design and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.
Design, develop, and implement AI-powered features to improve patient engagement, care coordination, claims management, and operational efficiency.
Use Claude Code and related AI tools to build, test, troubleshoot, and maintain full-stack software products in a remote Agile environment.
Collaborate with product managers, designers, engineers, and clinical stakeholders to translate requirements into scalable, user-focused solutions.
VetsEZ, through its EZLabs division, specializes in AI-driven healthcare products for federal government modernization, focusing on patient engagement, care coordination, and claims management. The company fosters a fast-paced, remote Agile culture and is an equal opportunity employer.
Own the AI platform strategy, architecture, and operations for enterprise-wide AI capabilities.
Build reusable components, connectors, and deployment pipelines for AI agents and automations.
Establish governance, security, and reliability practices for AI in a regulated healthcare environment.
Matter Health delivers primary and preventive healthcare directly to older adults living in public housing communities. The company is rapidly expanding and fosters a mission-driven, people-centered culture.
Design and architect next-generation AI agents for observability that transform incident investigation and remediation.
Drive technical direction, architecture, and best practices using AI/ML models to reduce mean time to resolution.
Collaborate with cross-functional teams and mentor engineers to deliver secure, scalable features.
ServiceNow is an AI platform that connects AI, data, and workflows to help enterprises work smarter and faster. The company serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent are unstoppable.
Design and build production-grade AI agents with LangGraph to automate multi-step workflows across internal teams.
Deploy and scale agents on Amazon Bedrock AgentCore, ensuring security, reliability, and cost efficiency.
Partner with internal teams to identify high-impact workflows and drive adoption through documentation and training.
Wrapbook is an AI platform for production finance, helping finance teams manage payroll, spend, and accounting for film, TV, and commercial productions. Trusted by teams at Netflix and Paramount, the 350+ person company is backed by major investors and focused on using AI to transform how finance teams work.
Refactor and productionise existing ML models, including NLP and generative AI solutions.
Build and maintain reliable ML pipelines with model evaluation, deployment, and observability.
Apply Applied AI techniques like RAG and integrate third-party AI APIs for production systems.
Smart Working is a remote-first talent company that connects skilled professionals with global teams and products. It is one of the highest-rated workplaces on Glassdoor, with a culture focused on growth, well-being, and belonging.
Build, train, and evaluate machine learning models end to end, from data and experiment design through training and reporting.
Design reinforcement learning environments, reward functions, and verifiers, and fine-tune language models using methods like PPO, DPO, and GRPO.
Collaborate with domain experts, analyze datasets, and present findings clearly to both technical and non-technical audiences.
EnableComp provides specialty revenue cycle management solutions for healthcare organizations using its unified E360 RCM platform. It is a multi-year Top Workplaces recipient and has been named to the Inc. 5000 list of fastest-growing private companies for eleven years.