🛠 Tech Stack

💼 About This Role

You'll design and build production-grade agentic systems that orchestrate LLMs and generative AI workflows at scale. Your work will connect multimodal biomedical and clinical data to intelligent agents supporting scientific innovation. This hands-on role spans architecture, implementation, and deployment in a research-driven environment.

🎯 What You'll Do

• Architect and maintain AI agent orchestration platforms
• Design and implement Model Context Protocol (MCP) servers
• Develop secure execution environments with sandboxing and HITL workflows
• Deploy containerized services on AWS using Terraform

📋 Requirements

• 5+ years production software engineering in backend or platform engineering
• Strong expertise in Python and distributed systems
• Proven experience with AI agentic systems including tool calling and multi-agent orchestration
• Hands-on experience with AWS and Terraform

✨ Nice to Have

• Experience in biotech, healthcare, or regulated multi-tenant data systems

🎁 Benefits & Perks

• 💰 Competitive salary $124,800–$156,000 USD
• 🏥 Medical, dental, vision, life, disability insurance
• 🏦 401(k) retirement plan and commuter benefits
• 👶 Generous parental leave and fertility care benefits
• 🏠 Fully remote work flexibility

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Initial recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Final interview with team· 60 min