Overview
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.
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
This position will be based in Austin, Texas.
The Role
This AI Engineer will 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.
Key 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.
This role offers direct ownership of the firm’s internal AI systems and infrastructure, with the opportunity to design tools that support deal sourcing, investment diligence, and portfolio company insights.
This AI Engineer will work closely with the investment team while operating with significant autonomy. The role will involve setting technical priorities, managing development workflows, and driving key architectural decisions.
Systems You Will Build and Own
You will inherit and extend a production system that includes:
Investor Intelligence Platform – AI-powered investor ranking and syndication tools (Next.js dashboard, Python AI backend)
Automated Deal Flow – Inbound emails are automatically parsed, classified by AI, and written to our CRM (LangGraph, n8n, DealCloud)
Meeting Notes Automation – Meeting transcripts are automatically processed into structured notes via (AI Fireflies, LangGraph, Notion)
Data Pipelines – Daily batch ingestion of investor data across 10 parallel shards (Python+ECS Fargate+EventBridge)
Internal APIs – RESTful wrappers around DealCloud CRM and other services (FastAPI+App Runner)
Monitoring Dashboards – Deal flow processing visibility and analytics (Next.js+Supabase)
Infrastructure – AWS (ECS, App Runner, EC2, ECR, ALB, Route 53, CloudWatch, EventBridge), Supabase, n8n, LangSmith
The position offers direct exposure to venture capital investing across biotech, healthtech, and medtech while developing AI-driven tools used daily by the investment team.
Qualifications and Experience
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
Technical Requirements
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
Current Technology Stack
Frontend: Next.js, React, TypeScript
Backend: Python, FastAPI, LangGraph
AI/ML: OpenAI, LangSmith
Database: Supabase (PostgreSQL)
Infrastructure: AWS (ECS, App Runner, EC2, EventBridge, CloudWatch)
Automation: n8n, Docker
Preferred Qualifications
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.)
To Apply
Interested candidates should submit a resume to Diane Brouillard via this application link. Candidates are encouraged to include links to projects, repositories, or other work that demonstrate their experience building with AI technologies.
Applicants must be legally authorized to work in the United States and able to work without employer sponsorship now or in the future.