Senior AI Agent Platform Engineer

starlims; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

STARLIMS is building AI-driven capabilities across quality manufacturing, life sciences, public health, and forensics. This role focuses on agentic systems: software that reasons over tasks, calls tools, and delivers results for human review.

You will design and implement the runtime agents, ensure safety, observability, and compliance, and collaborate across platform, data integration, and infrastructure teams in a fast-paced, regulated environment.

Qualifications

• 6+ years of software engineering experience.
• Experience building production LLM systems.
• Understanding of LLM behavior, limitations, and failure modes.
• Experience with LLM APIs, tool and function calling, and designing planning and execution loops.
• Experience evaluating and debugging non-deterministic systems.
• Solid backend and cloud experience (AWS or equivalent).
• Proficiency in TypeScript and/or Python.

Responsibilities

• Design and build the runtime our agents execute on: planning and execution loops, tool calling, state management, durable execution, and failure recovery.
• Build the layer through which agents reach platform data and external systems safely.
• Design coordination, delegation, and handoff across agents and workflows where needed.
• Make agent behaviorversionable, testable, measurable, and regression-safe across releases.
• Build reusable primitives so new agents are configured rather than rebuilt from scratch.
• Take a domain workflow from expert conversation to a working agent: goals, actions, execution flow, failure handling, and success criteria.

Skills

Software engineering

Production systems

TypeScript

Python

AWS

LLM

Tool APIs

Backend

Tools

OpenAI API

Anthropic API

MCP protocol

Vector search

Job description

STARLIMS is building AI-driven capabilities across quality manufacturing, life sciences, public health, and forensics. This role focuses on agentic systems: software that reasons over tasks, calls tools, and delivers results for human review.

You will design and implement the runtime agents, ensure safety, observability, and compliance, and collaborate across platform, data integration, and infrastructure teams in a fast-paced, regulated environment.