Senior AI Platform Engineer

Strategic Staffing Solutions

St. Louis, MO, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Computing Platforms Architectural Patterns Automation of Tests Code Review Continuous Integration Python (Programming Language) Software Engineering Unstructured Data

+9 more

Enterprise Software Applications Large Language Models Multi-Agent Systems Prompt Engineering Git AI Platforms Restful APIs Automation Anywhere Databricks

Job description

Lead the design and development of an enterprise AI platform that enables agentic workflows across structured and unstructured data. This hands-on role combines software development, platform architecture, AI strategy, and technical leadership to build scalable AI solutions and guide key technology decisions., * 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 that increase platform scalability and team productivity.
Establish engineering best practices and contribute to code reviews.
Research and adopt emerging AI technologies where they provide business value.
Partner with stakeholders to translate business problems into AI solutions

Requirements

5+ years of software engineering experience.
Proven track record of delivering enterprise-grade production software.
Strong Python development skills.
Experience building, deploying, and operating production AI systems.
Experience designing and implementing RAG solutions.
Experience with Databricks.
Hands-on experience with LangGraph or similar agent orchestration frameworks.
Experience building AI workflows that leverage tools, APIs, and external systems.
Experience with AI evaluation frameworks and quality measurement.
Experience implementing AI observability and tracing solutions.
Understanding of agent architecture patterns, prompt engineering, and LLM evaluation techniques.
Experience with AWS in production environments.
Experience designing and consuming REST APIs.
Experience with Git, CI/CD, and modern software engineering practices.