Senior AI LLM Engineer

Job Title: Senior AI / LLM Engineer

Locations:

• Mason OH
• Plano TX
• Atlanta GA
• Cleveland OH
• Indianapolis IN
• Iselin NJ
• Downtown Chicago IL
• Chicago IL
• Wallingford CT

Job Type: Full-Time

Job Summary

We are seeking a highly skilled Senior AI / LLM Engineer with deep expertise in building production-grade AI applications using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and agentic AI frameworks. The ideal candidate should have strong Python development skills and hands-on experience designing scalable cloud-native AI systems.

This role involves architecting and delivering enterprise-grade AI solutions integrating intelligent agents with backend systems and optimizing performance scalability and reliability of AI-powered applications.

Required Skills

• Strong Python expertise with experience building and deploying production-grade backend systems
• Hands-on experience developing applications using:
  • Large Language Models (LLMs)
  • Prompt engineering
  • AI orchestration frameworks
• Strong experience with:
  • RAG architectures
  • Embeddings
  • Vector databases
• Experience with agentic AI frameworks such as:
  • LangChain
  • LangGraph
  • AutoGen
• Strong system design and cloud application architecture skills
• Experience building scalable and distributed AI platforms

Key Responsibilities

• Architect and deliver end-to-end LLM-powered applications and agentic AI workflows using Python
• Design and implement RAG pipelines over enterprise datasets using embeddings and vector databases
• Build multi-step intelligent agents with:
  • Planning
  • Execution
  • Tool usage
  • Memory capabilities
• Integrate AI solutions with enterprise APIs backend systems and cloud platforms
• Define evaluation monitoring and optimization strategies for:
  • Accuracy
  • Latency
  • Reliability
  • Cost efficiency
• Collaborate with engineering and product teams to deliver scalable AI solutions
• Ensure production readiness scalability and operational excellence of AI applications

Preferred Skills

• Experience with cloud platforms such as AWS Azure or GCP
• Familiarity with MLOps CI/CD and AI deployment pipelines
• Experience with distributed systems and scalable microservices architectures