We are looking for a hands-on AI Engineer with strong experience building and deploying production-grade Generative AI and Agentic AI solutions .
Key Responsibilities
- Build and deploy LLM-powered applications, AI agents, and multi-agent workflows .
- Develop RAG pipelines, LLM orchestration, and enterprise AI integrations .
- Work with OpenAI, Claude, Gemini, AWS Bedrock , and related GenAI technologies.
- Build AI services and APIs using Python/FastAPI .
- Implement LLM evaluation, observability, guardrails, and hallucination reduction .
- Deploy scalable AI solutions using AWS, Kubernetes/OpenShift, Docker, and Terraform .
- Work with MCP, vector databases, embeddings, and LLM fine-tuning/QLoRA .
Must Have
- Hands-on experience with Agentic AI, RAG, and LLM orchestration .
- Experience with LangChain, LangGraph, Semantic Kernel, or similar .
- Experience with AWS Bedrock and cloud-native AI solutions.
- Experience with vector databases and LLM evaluation .
- Strong software engineering and API development experience.
Ideal candidate: Someone who has built and supported enterprise GenAI platforms in production , not just POCs.
#J-18808-LjbffrSoftware Engineer – Generative AI / LLM in scottsdale at Unknown Company
This position is listed as full time and onsite.