Principal Software Engineer, Agentic Platform

Our client is a venture-backed life sciences innovation firm building intelligent software systems

that integrate agentic AI with scientific reasoning to accelerate discovery and decision-making,

centered on a new autonomous research platform for reasoning over complex biological problems.

Own the underlying agentic platform: the durable orchestration layer on which long-running,

multi-agent, multi-model scientific workflows run reliably. This is a hands-on architect role for a

senior engineer who has built and operated distributed systems at scale and wants to take agentic

AI from research to production - setting technical foundation and standards, working

shoulder-to-shoulder with AI scientists and engineers, and turning frontier agent patterns into, * Own the agentic platform end to end, from research prototype to production; architect workflow orchestration, evaluation frameworks, and event-driven distributed systems for scale, resilience, and reliability.

• Define SDK abstractions and API contracts between model/agent outputs and downstream consumers.
• Deliver infrastructure-as-code reference implementations (AWS CDK, Terraform, containerized services), turning AI proof-of-concepts into hardened, reusable patterns.
• Own platform cost-efficiency and scalability while preserving performance and accuracy.
• Set technical standards and architectural direction; partner across modeling, agent, and product teams and mentor engineers.

• B.S./M.S. in CS, Engineering, or related field, with 10+ years of professional software
• Track record architecting and maintaining large-scale distributed systems in production.
• Deep expertise in workflow orchestration and event-driven architecture (stateful execution,
• Hands-on with agentic AI/orchestration frameworks (LangGraph, LangChain, CrewAI, AutoGen, Pydantic AI).
• Experience integrating LLM platforms (Anthropic, OpenAI, Vertex AI, Bedrock) and building agent evaluation/feedback frameworks.
• Strong cloud-native engineering on AWS with infrastructure-as-code, containerization, and autoscaling.
• Experience designing SDKs, APIs, and data contracts serving multiple downstream teams; proven ability to build consensus and mentor engineers.