Senior AI Agent Platform Engineer

STARLIMS Corporation; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

STARLIMS Corporation is building an AI-enabled agent platform, focusing on planning, tool calling, and durable execution for enterprise use across regulated environments.

This role involves designing and implementing the runtime for agents, integrating with platform APIs, and improving reliability, observability, and governance while collaborating with cross-functional teams in a fast-paced environment.

Qualifications

• 6+ years of software engineering experience, including production systems.
• Experience building production LLM systems, including tool-using or multi-step agentic workflows beyond simple prompting and chat interfaces.
• Strong understanding of LLM behavior, limitations, and failure modes, especially how errors compound across a multi-step run.
• 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 behavior versionable, testable, measurable, and regression-safe across releases.
• Build reusable primitives so new agents are configured rather than rebuilt from scratch.

Skills

Production systems

LLM systems

Tool calling

TypeScript/Python

Tools

AWS Lambda

Step Functions

OpenAI

Anthropic

MCP

Vector search

React

Next.js

Job description

STARLIMS Corporation is building an AI-enabled agent platform, focusing on planning, tool calling, and durable execution for enterprise use across regulated environments.

This role involves designing and implementing the runtime for agents, integrating with platform APIs, and improving reliability, observability, and governance while collaborating with cross-functional teams in a fast-paced environment.