Applied AI Engineer
Core
Build production-ready AI-enabled internal tools, workflow automations, and agents to streamline operations for patients, physicians, and bio-pharma partners.
Role type
Senior Applied AI Engineer (Internal Tooling & Automation)
Builds
Production-capable internal tools, workflow automations, and agentic workflows for internal teams.
Domain
HealthTech / Drug Development Ecosystem
Deliverable
production ML models | product features | infrastructure
Required skills
Python, backend development, relational databases (MySQL/PostgreSQL), cloud platforms (AWS/Azure/GCP), LLM APIs, agentic workflows, RAG, MCPs, workflow automation, AI evaluation frameworks, observability, security.
Preferred skills
FastAPI, Pydantic, SQLAlchemy, Terraform, Kubernetes, Angular, React, TypeScript, AI evaluation frameworks, healthcare domain knowledge.
Technologies
Python, FastAPI, Pydantic, SQLAlchemy, MySQL, PostgreSQL, AWS, Azure, GCP, Docker, Kubernetes, Terraform, Angular, React, TypeScript, LangChain, LangGraph, n8n, GitHub Actions.
Responsibilities
Embed with internal teams to map workflows and identify high-leverage intervention points; build production-capable AI solutions with measurable success criteria; design and implement evaluation approaches including test sets and human review loops; create reusable playbooks, templates, and AI substrates for other teams; ensure AI-built software is safe, secure, and maintainable; assess solution viability and handoff ownership to business owners.
Seniority
Senior, hands-on IC
