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# Principal Software Engineer - Agentic Platform

- **Company:** Pioneering Partnerships LLC
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Engineering, Software Quality, Distributed Systems, OpenAI, Software Engineering, Systems Integration, AI Infrastructure, AWS Cdk, Design of Telemetry/logging Agents, LangChain, Large Language Models, Multi-Agent Systems, Agentic-AI, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Amazon Bedrock, CrewAI, AutoGen, Terraform, Api Management
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_d20af76f7a80766e6754d2f1ed582852

## About the Role

* B.S. or M.S. in Computer Science, Engineering, or a related field, with 10+ years of professional software development experience.
 * Demonstrated track record architecting and maintaining large-scale distributed systems in production at technology companies.
 * Deep expertise in workflow orchestration and event-driven architecture, including stateful execution, idempotency, durable retries, and replay.
 * Strong cloud-native engineering on AWS with infrastructure-as-code, containerization, and autoscaling.
 * Proven ability to take systems from prototype to hardened, observable, operationally excellent production.
 * Experience designing SDKs, APIs, and data contracts that serve multiple downstream teams.
 * Excellent communication skills and the ability to build organizational consensus around platform decisions.
 * Collaborative and empathetic working style: listens to understand the needs of scientists, engineers, and downstream teams, and leads through influence.
 * Proven track record setting technical strategy and direction for a growing engineering organization, and mentoring engineers in a fast-moving environment., * Hands-on experience with agentic AI and orchestration frameworks (e.g., Pydantic AI, LangGraph, LangChain, CrewAI, AutoGen).
 * Experience integrating LLMs and model platforms, including Anthropic, OpenAI, Vertex AI, and Amazon Bedrock, and building evaluation and feedback-loop frameworks for agentic systems.
 * Familiarity with sandboxed code execution and agent harness development.
 * Experience with LLM observability, monitoring tooling, and cost-governance / FinOps for AI infrastructure.
 * Background in scientific domains such as biology, chemistry, or complex systems (a plus, not required).

## Description

The Pioneering Intelligence group at Flagship Pioneering is building intelligent software systems that integrate agentic AI with scientific reasoning to accelerate discovery and decision-making. We seek a Principal Software Engineer to own the underlying agentic platform - the durable orchestration layer where long-running, multi-agent, multi-model scientific workflows run reliably. This hands-on architect role requires a senior engineer who has built and operated distributed systems at scale and wants to take agentic AI from research to production., * Own the agentic platform end-to-end, from research prototype to production, building the durable orchestration layer for long-running, multi-stage scientific workflows.

 * Architect workflow orchestration, evaluation frameworks, and event-driven distributed systems that deliver scale, resilience, and reliability.
 * Define SDK abstractions and API contracts between model and agent outputs and downstream consumers, decoupling rapid model iteration from product stability and reducing integration friction across teams.
 * Deliver infrastructure-as-code reference implementations (AWS CDK, Terraform, containerized services) and transform exploratory AI proof-of-concepts into hardened, reusable patterns adopted across product domains.
 * Own platform cost-efficiency and scalability while preserving the performance and accuracy that experiments and end users require.
 * Explore and template agent design and deployment patterns, and set technical standards, code quality, and architectural direction for the platform.
 * Partner across teams (modeling, agent, and product) to align integration points, dependency timelines, and delivery, and mentor engineers and scientists.