Senior AI Platform Engineer

STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!

Senior AI Platform Engineer St. Louis, MO (Hybrid/onsite 3 days per week)
W2 Contract-to-Hire



Position Summary
You will work closely with the lead AI platform engineer to develop production-ready AI capabilities, platform components, integrations, and automation solutions that create measurable business value. A key part of the role is ensuring AI systems can be evaluated, monitored, and operated successfully in production



Job Duties:

• Support the Lead AI Platform Engineer in designing, building, deploying, and operating enterprise AI solutions.
• Help build and evolve RAG, agent-based, and AI workflow solutions under the guidance of senior technical leadership.
• Implement AI observability, tracing, and monitoring capabilities.
• Integrate AI and automation solutions with enterprise applications, databases, APIs, document repositories, and file-based systems.
• Design and develop automation solutions, primarily using Blue Prism, UiPath, and ABBYY OCR.
• Partner with business stakeholders to understand processes and define automation requirements.
• Identify process gaps, business rule exceptions, and AI and automation risks.
• Troubleshoot issues, perform root cause analysis, and implement long-term solutions.

Required Skills:

• 2+ years of experience developing and supporting software solutions in production environments.
• Experience integrating systems through APIs, databases, and enterprise applications.
• Working knowledge of C#, Python, Java, or similar languages.
• Strong troubleshooting, analytical, and problem-solving skills.
• Understanding of testing, quality assurance, and release management practices.
• Interest in AI engineering, RAG applications, agentic workflows, LLM-based systems, or AI-enabled automation.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Nice to Have

• Experience with Blue Prism, UiPath, and/or ABBYY OCR.
• Experience with intelligent document processing or AI-enabled automation.
• Experience with AWS, Azure, or other cloud platforms.
• Experience with Databricks.
• Hands-on experience with LangGraph or similar agent orchestration frameworks.
• Experience building AI workflows that leverage tools, APIs, MCP servers, and external systems.
• Understanding of agent architecture patterns, prompt engineering, and LLM evaluation techniques.

* Beware of scams. S3 never asks for money during its onboarding process