Required Skills : * Local-First AI Expertise: Proven track record deploying and optimizing open-source LLMs (e.g., LLaMA, Mistral) in non-cloud, restricted, or air-gapped private infrastructures * Deep Framework Proficiency: Heavy hands-on experience with PyTorch, Hugging Face, and orchestration layers like LangChain, LlamaIndex, or equivalent frameworks * Vector and Retrieval Mastery: Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and local vector databases (e.g., FAISS, Qdrant, Milvus, Chroma) * Containerization and Compute Infrastructure: Strong experience containerizing AI workloads via Docker/Kubernetes and managing dedicated GPU-based compute environments * Advanced ML Concepts: Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model quantization formats (GGUF, AWQ, EXL2) * Autonomy: Ability to build, test, and iterate rapidly in an isolated development sandbox with zero dependency on third-party cloud APIs * Experience operating within heavily regulated or compliance-driven industries (e.g., high-governance data environments, fintech, or legal-tech) * Familiarity with local-first agentic workflows, Model Context Protocol (MCP), or building fully internal developer copilots and autonomous knowledge systems.
| 6 Month. p>'',''US-FL-Tampa'',''US-FL-Tampa'','''','''','''','''','''','''','''','''',''Full-time'',''Full Time'',''Full Time'',''Individual Contributor'',''Experienced'',''Experienced'',''No'',''No'',''15/06/2026, 4:48:14 PM'',''15/06/2026, 4:48:14 PM'',''80000'',''80000'',''100000'',''100000'',''false'',''922224'',''922224'',''true'',''922224'',''false'',''Submission for the position: Gen AI Engineer - (Job Number: CREQ254063)'',''false'',''922224'',''false'',''true''. Having Good experience in Python Google ADK skill , Experienced in developing AI agents that integrate tools, coordinate multiple specialized agents, and execute predictable workflows. |