Generative AI Engineer / LLM Engineer

Generative AI Engineer / LLM Engineer

Position Location: Pittsburgh, PA, 15222 / Cleveland, OH, 44136 : Fully in office, 5 days per week for team collaboration.

Length of Assignment: 12 Months Contract to Hire role.

Pay Range: $55 to 70/hr. on W2 ONLY

Industry background: financial services is helpful, but not required.

Roles and Responsibilities:

Continuous support of models deployed to production applications - Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery - Continuous support of models deployed to production applications - Release planning, coordination, and hands on support throughout release windows.

Must Have Skills Required (5 - 7 years of experience Required):

• Experience building solutions with model governance, risk management, and regulatory adherence at top of mind.
• Experience implementing production solutions that leverage generative AI and LLMs.
• GPT 5.x
• Langchain
• Machine learning model solution design, build, orchestration and implementation
• RAG / RAGAS

Nice to Have / Flex Skills:

• Arize
• Azure AI Search / AI Agent Service / Document Intelligence / Content Safety
• ChromaDB
• Deepeval
• ElasticSearch
• Experience in financial services
• Langgraph
• Client Agent Framework / Foundry
• REDIS

Education/Certifications:

Bachelors Required

Pre-Screening Questionnaire:

• What is RAG ? What are its benefits? What use cases is it used for? - What are the technical steps for implementing a RAG solution in production? Give good details about what each step entails and why it s necessary.
• How did you build a solution that you ensured would scale? What did your application architecture look like
• What services did you deploy and how did they interact with one another?

Interview Process:

Panel interview - 1 hour.

Hiring Manager Stack Ranking of Importance (Most Important to Least Important):

• Skills
• Rate
• Prior Client Experience
• Location