Senior AI Engineer – STARLIMS AI Platform

STARLIMS Corporation•, (Multiple States)

About The Position

STARLIMS is building AI capabilities into its Laboratory Information Management System (LIMS) platform, which is used across life sciences, public health, forensics, and environmental sciences. This role focuses on developing reliable, production-grade AI systems that integrate with real workflows, domain-specific data, and meet strict accuracy requirements. The position involves designing and optimizing Retrieval-Augmented Generation (RAG) pipelines, improving retrieval quality, building evaluation frameworks, and working with fragmented enterprise data. Additionally, the role will involve building AI-powered features integrated into STARLIMS workflows, designing for reliability (latency, scale, model variability), implementing guardrails, managing prompt evolution, and developing agentic systems that can reason, call tools, and execute multi-step tasks. A key area of focus is the development and evolution of a VS Code-based development environment, supporting a custom application framework and domain-specific language, and building AI-assisted workflows for application development. The role also includes building and operating backend services on AWS, owning system architecture, and contributing to infrastructure-as-code and deployment pipelines.

Requirements

6+ years of software engineering experience, including production systems
Experience building RAG systems beyond prototypes
Strong understanding of LLM behavior, limitations, and failure modes
Experience with LLM APIs and prompt/system design
Solid backend and cloud experience (AWS or equivalent)
Proficiency in TypeScript and/or Python
Debugging across distributed systems
Making tradeoffs between accuracy, latency, and cost
Working in ambiguous problem spaces
Owning systems end-to-end

Nice To Haves

AI evaluation pipelines and metrics
Agent/tool-use systems or similar architectures
Developer tooling (VS Code extensions, language tooling)
Workflow automation platforms (n8n, Zapier, etc.)
Experience in regulated or domain-heavy systems
Scaling vector search systems
Experience with containerization and orchestration (ECS, EKS, Kubernetes)
Infrastructure as Code (Terraform or similar)

Responsibilities

Design and optimize RAG pipelines over domain-specific content
Improve retrieval quality, ranking, and grounding to reduce hallucinations
Build evaluation frameworks to measure accuracy and consistency
Work with fragmented enterprise data and make it usable
Build AI-powered features integrated into STARLIMS workflows
Design for reliability (latency, scale, model variability)
Implement guardrails, fallbacks, and observability
Manage prompt evolution, model drift, and regressions
Develop systems that can reason, call tools, and execute multi-step tasks
Integrate with internal APIs, developer tooling, and external systems
Design controlled execution paths for automated actions
Build and evolve a VS Code-based development environment replacing a legacy desktop IDE
Support development across a custom application framework and domain-specific language
Develop AI-assisted workflows for generating, understanding, and debugging applications
Integrate LLMs with platform APIs, developer tools, and contextual knowledge systems
Design extensible mechanisms for AI-assisted multi-step development tasks
Build and operate backend services on AWS (Lambda, API Gateway, DynamoDB, etc.)
Own system architecture and key technical decisions
Contribute to infrastructure-as-code and deployment pipelines