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# Principal Software Engineer, Agentic Platform

- **Company:** INSILICO SEARCH PARTNERS, LLC
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Engineering, Distributed Systems, OpenAI, Workflow Management Systems, AWS Cdk, LangChain, Large Language Models, Multi-Agent Systems, Agentic-AI, Event Driven Architecture, Containerization, Kubernetes, CrewAI, AutoGen, Terraform, Api Management
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_5fc874d74a23e19d4b99c4d7b529f54d

## About the Role

* 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.

## Description

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.