Lead AI Platform Engineer (St. Louis On-site)

ZipStaff Inc.; St. Louis (MO); On-site; USD 165,000 - 276,000; Full time

Job summary

ZipStaff Inc. is seeking a Lead AI Platform Engineer in St. Louis, MO to design, build, and operate production AI solutions for a major energy and utilities client.

This hands-on technical leadership role will focus on agentic workflows, RAG architectures, evaluation frameworks, and AI observability, delivering enterprise-grade AI systems integrated with existing APIs and data sources. You will establish reusable AI patterns, raise engineering standards, and collaborate with stakeholders to

Qualifications

• 7-8+ years of software engineering delivering enterprise-grade production software.
• Strong Python development skills.
• Experience building, deploying, and operating production AI systems.
• Experience designing and implementing RAG solutions.
• Hands-on experience with Databricks.
• Hands-on experience with LangGraph or similar agent orchestration frameworks.

Responsibilities

• Design, build, deploy, and support production AI solutions.
• Develop agentic workflows, tool integrations, and orchestration pipelines.
• Build and evolve RAG and agent-based architectures.
• Create evaluation frameworks to improve quality, groundedness, and reliability.
• Implement AI observability, tracing, and monitoring capabilities.
• Develop automated testing and regression validation processes.
• Integrate AI solutions with APIs, enterprise applications, and data sources.
• Design reusable AI patterns, frameworks, and components for scalability.
• Establish engineering best practices and participate in code reviews.
• Research and adopt emerging AI technologies to deliver business value.

Skills

Python

Production AI systems

RAG

REST APIs

Git

CI/CD

Secure coding

Agile

Tools

Databricks

LangGraph

LangChain

OpenTelemetry

Grafana

Job description

ZipStaff Inc. is seeking a Lead AI Platform Engineer in St. Louis, MO to design, build, and operate production AI solutions for a major energy and utilities client.

This hands-on technical leadership role will focus on agentic workflows, RAG architectures, evaluation frameworks, and AI observability, delivering enterprise-grade AI systems integrated with existing APIs and data sources. You will establish reusable AI patterns, raise engineering standards, and collaborate with stakeholders to