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About the Role

Santé is seeking an AI Engineer to build and own AI systems that directly power how we source deals, evaluate investments, and support portfolio companies. This individual will be an AI-native builder and the firm’s sole engineer with full ownership of the technical stack, architecture decisions, and product direction. This position replaces an existing role and will inherit a fully operational set of internal AI systems and infrastructure already in active use by the investment team.

Responsibilities

• Build and ship AI-powered tools that the investment team uses daily
• Own the full stack: frontend, backend, infrastructure, data, and AI/ML
• Architect new systems and improve existing ones based on team needs
• Manage AWS infrastructure, deployments, and monitoring
• Work directly with partners and associates to identify high-leverage automation opportunities
• Evaluate emerging AI technologies and integrate new capabilities into internal systems
• Serve as the firm’s primary technical builder, responsible for managing and evolving a production system consisting of more than ten interconnected services—including AI pipelines, data ingestion systems, dashboards, APIs, and workflow automation tools.

Requirements

• A recent graduate (or soon-to-be) in Computer Science, Electrical Engineering, or equivalent
• AI-native – you don’t just use AI tools, you understand how they work at a deep level. You track SOTA models, experiment with new agent frameworks, and use coding agents (Claude Code, Codex, Cursor, etc) as core parts of your workflow
• A full-stack builder – comfortable writing Python backends, React/TypeScript frontends, and managing cloud infrastructure
• Self-motivated and autonomous – you don’t wait to be told what to build. You identify problems, propose solutions, and ship them
• Comfortable owning production systems end-to-end
• Someone who thrives in ambiguity — this is an open-ended role where you'll define much of your own roadmap
• Strong programming fundamentals (Python, TypeScript/JavaScript)
• Experience building with LLMs and AI agent frameworks (LangChain, LangGraph, CrewAI, or similar)
• Familiarity with cloud infrastructure (AWS preferred — ECS, App Runner, EC2, or equivalent)
• Database experience PostgreSQL/Supabase or similar)
• API design and integration experience REST, webhooks)
• Docker and containerized deployments
• Git and modern development workflows
• Experience with workflow automation tools (n8n, Zapier, or similar)
• Interest in healthcare, biotech, or venture capital
• Experience building and deploying AI agents in production
• Contributions to open-source AI projects
• Experience with observability/tracing for AI systems LangSmith, etc.)
• Applicants must be legally authorized to work in the United States and able to work without employer sponsorship now or in the future.

Skills

• Python
• TypeScript
• JavaScript
• React
• Next.js
• FastAPI
• LangGraph
• OpenAI
• LangSmith
• Supabase
• PostgreSQL
• AWS
• ECS
• App Runner
• EC2
• EventBridge
• CloudWatch
• n8n
• Docker
• Git
• LLMs
• AI agent frameworks
• LangChain
• CrewAI
• REST
• webhooks
• workflow automation tools
• observability/tracing for AI systems

Location

• Austin, Texas

Work Type

• Onsite

Experience Level

• Recent graduate

Education Level

• Computer Science
• Electrical Engineering
• equivalent

About the Company

• Santé is a leading venture capital firm founded in 2006, with ~$1 billion in assets under management and offices in Austin and Boston.
• We invest at the intersection of science and technology, catalyzing disruptive opportunities across Biotech, MedTech and HealthTech.
• Combining extensive healthcare industry experience with deep scientific and technical expertise, we pursue innovative new opportunities to improve lives and generate returns.
• At Santé, we fuel entrepreneurs and invest in transformational companies that will shape the future of patient care, delivering better healthcare outcomes at a lower total cost to the system.
• Our expertise spans pharmaceutical drug discovery, device design and engineering, clinical development, reimbursement, physician and hospital leadership, and public policy.
• Our investment philosophy of disciplined fund size, significant ownership positions, and diversified life sciences exposure has proven successful, as our funds have consistently generated top-quartile returns for our investors.