Own ML projects end-to-end, from exploration to production deployment, iterating based on real user feedback.
Build agentic LLM systems with multi-step workflows, tool use, retrieval, and orchestration for reliable clinical use.
Treat evaluation as core engineering work, building eval sets, LLM-as-judge pipelines, and regression tests to catch quality drops.
Sword is building AI to revolutionize healthcare, focusing on clinical reasoning and real-time treatment. With over 700,000 members and 1,000+ enterprise clients, they are backed by $500M+ from top investors like Khosla Ventures and General Catalyst, defining a new standard in AI-native care.
Build shared SDKs, APIs, and infrastructure for AI features and agentic workflows.
Integrate durable execution infrastructure for long-running agent workflows, including checkpointing, retries, and human-in-the-loop steps.
Develop evaluation and debugging tools that turn production failures into measurable improvements and regression coverage.
Vanta helps businesses automate security monitoring and demonstrate trust through compliance with standards like SOC 2, HIPAA, and ISO 27001. Founded in 2018, it has a kind, talented team and thousands of customers worldwide.
Lead and grow a team of engineers building AI-powered features across patient and operations experience.
Define and optimize the systems behind AI products, including evaluation, monitoring, and retrieval.
Partner with Clinical, Pharmacy, and CX to ensure AI ships safely in a regulated healthcare environment.
Felix is a digital healthcare company that puts patients in control of their health, providing online treatment, prescription delivery, and ongoing care. Founded in 2019, it is a remote-first early-stage company with a collaborative, high-performing team.
Design multi-step LLM systems for reasoning, retrieval, planning, and tool use.
Own evaluation from offline benchmarks to online experiments and model-graded review.
Set quality, latency, and cost targets, and mentor senior engineers.
They build enterprise AI systems, specifically agent systems for large customers. As a late-stage, venture-backed company, they focus on shipping reliable AI to enterprise clients.
Building agents, environments, and post-training systems for real semiconductor design and verification workflows.
Designing rewards and evaluations that combine functional correctness with tool efficiency, robustness, and performance/power/area constraints.
Owning interactive environments where agents use EDA tools to modify designs, debug failures, and plan multi-step work.
Prime Intellect builds the open superintelligence stack, unifying compute, environments, evaluations, and deployment for frontier-scale AI post-training. The company has raised $150M in funding from top investors like Founders Fund and NVIDIA, fostering a culture of building at the intersection of research, infrastructure, and go-to-market.