Agentic AI Engineer
US client via staffing partner · Hartford, CT / Plano, TX / Raleigh, NC / Richardson, TX / Tempe, AZ
- Location
- Hartford, CT / Plano, TX / Raleigh, NC / Richardson, TX / Tempe, AZ · Onsite
- Salary band
- Band not stated
- Type
- Full-time
- Level
- Mid
- Work authorization
- Not stated
Stack
LLMs · LangGraph · AutoGen · Crew AI · Python · Hugging Face Transformers · LangChain · PyTorch · FAISS · Pinecone · Weaviate · AI Search · LLMOps · RAG · Vector Databases · FastAPI · Flask · Docker · LoRA · QLoRA
About the role
Job Title - Agentic AI Engineer Location - Hartford, CT, Plano, TX, Raleigh, NC, Richardson, TX, Tempe, AZ Type - Full Time (onsite) Job Description: Required Skill and Experience ⦁ Experience in designing, developing, and deploying Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). ⦁ Experience in software engineering or data science, with 2–3 years in Gen AI or LLM-based systems. ⦁ Experience in Python programming skills and ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). ⦁ Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, AI Search). ⦁ Prior experience in implementing LLMOps practices including prompt versioning, caching, observability, and cost tracking. ⦁ Experience in building and optimizing RAG pipelines with hybrid retrieval, semantic chunking, and vector search. Preferred Skill and Experience ⦁ Experience with REST API development (FastAPI, Flask) and containerization (Docker). ⦁ Experience with Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • This position may require relocation and/or travel to work/project location. • All applicants authorized to work in the United States are encouraged to apply.
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