Senior AI Engineer: Agentic LLMs & Production Platform

STARLIMS Corporation

United States

Remote

USD 140,000 - 200,000

Full time

7 days ago
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Job summary

STARLIMS Corporation is seeking an experienced software engineer to help build AI-enabled agent platform and runtime for enterprise data, with a focus on planning, tool calling, and durable execution.

You will ground agent decisions in authoritative data, implement human-in-the-loop controls, and ensure observability, reliability, and security across multi-step workflows using TypeScript, Python, AWS, and modern tooling.

Qualifications

  • 6+ years of production software engineering experience.
  • Experience building production LLM systems with tool-using or multi-step agentic workflows beyond simple prompting.
  • Strong understanding of LLM behavior, limitations, and failure modes in multi-step runs.
  • Experience with LLM APIs, tool and function calling, and planning/execution loops.
  • Proficiency in TypeScript and/or Python.
  • Solid backend and cloud experience (AWS or equivalent).

Responsibilities

  • Design and build the runtime our agents execute on: planning and execution loops, tool calling, state management, durable execution, and failure recovery.
  • Ground agent decisions and outputs in authoritative enterprise data.
  • Implement human-in-the-loop with approval gates, override capture, uncertainty handling, and evidence for decisions.
  • Close the loop: turn user corrections into signals to improve the agent.
  • Define production metrics for agent quality, reliability, latency, cost, and human intervention rates.

Skills

Software engineering
LLM systems experience
Tooling & multi-step workflows
TypeScript / Python
AWS / cloud
Distributed debugging

Education

Bachelor's degree in Computer Science or related field

Tools

OpenAI API
Anthropic
MCP protocols
Embeddings & vector search
AWS Lambda / Step Functions
Terraform

Job description

STARLIMS Corporation is seeking an experienced software engineer to help build AI-enabled agent platform and runtime for enterprise data, with a focus on planning, tool calling, and durable execution.

You will ground agent decisions in authoritative data, implement human-in-the-loop controls, and ensure observability, reliability, and security across multi-step workflows using TypeScript, Python, AWS, and modern tooling.

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