Senior AI Engineer - Agentic Systems & Reliability

STARLIMS; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

STARLIMS is building AI-enabled agent platforms to orchestrate domain workflows across life sciences, manufacturing, and public health sectors. You will design and implement the runtime and tooling that lets agents plan, call tools, and execute multi-step tasks with human review and approval points.

The role emphasizes reliability, observability, and governance, with strict validation requirements and secure data handling in enterprise environments.

Qualifications

• 6+ years of software engineering experience, including production systems.
• Experience building production LLM systems with tool-using or multi-step agentic workflows.
• Strong understanding of LLM behavior, failure modes, and error propagation in multi-step runs.
• Experience with LLM APIs, tool calling, planning and execution loops.
• Experience debugging non-deterministic systems and evaluating reliability.
• 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.
• Take a domain workflow from expert conversation to a working agent: goals, actions, execution flow, failure handling, and success criteria.
• Ground agent decisions and outputs in authoritative enterprise data.
• Implement human-in-the-loop by design, including approval gates, override capture, uncertainty handling, and clear evidence for agent decisions.
• Close the loop: turn user corrections and overrides into signals that measurably improve the agent.
• Build evaluation harnesses for multi-step behavior, define production metrics, and implement guardrails and observability across agent runs.

Skills

Software engineering

LLM systems

Tool calling

Distributed systems

TypeScript

Python

AWS

Job description

STARLIMS is building AI-enabled agent platforms to orchestrate domain workflows across life sciences, manufacturing, and public health sectors. You will design and implement the runtime and tooling that lets agents plan, call tools, and execute multi-step tasks with human review and approval points.

The role emphasizes reliability, observability, and governance, with strict validation requirements and secure data handling in enterprise environments.