What are the responsibilities and job description for the Senior AI Engineer (GenAI / Agentic AI) _ Charlotte, NC (Open to relocation / possible remote) position at NasTech Global, Inc.?
Hi,
I'm Avinash from NasTech Global INC. One of our clients is hiring for the position mentioned below. Please review the job description and let me know if you're interested.
Job Title: Senior AI Engineer (GenAI / Agentic AI)
Location: Charlotte, NC (Open to relocation / possible remote)
Employment Type: W2
Job Summary
We are looking for a Senior AI Engineer with strong experience in Generative AI and Agentic AI to design, build, and deploy end-to-end AI applications. The role involves working on advanced AI workflows, RAG pipelines, and scalable cloud-based solutions.
Key Responsibilities
- Design and build agentic AI workflows using LangChain and LangGraph
- Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
- Build and deploy AI services on Google Vertex AI
- Develop backend services using Python (FastAPI) or Node.js
- Create user-facing applications using React / Next.js
- Implement observability (logging, tracing, monitoring)
- Manage data pipelines (chunking, embeddings, vector databases)
- Ensure data security, governance, and AI safety (guardrails, prompt security)
- Optimize performance, latency, and cost
- Collaborate with cross-functional teams and mentor junior engineers
Required Skills
- 7 years of software engineering experience
- 3 years of hands-on GenAI / ML experience
- Strong experience with LangChain and LangGraph
- Solid understanding of RAG pipelines and vector databases
- Experience with Google Vertex AI (or AWS/Azure AI services)
- Backend development (Python / Node.js) and frontend (React)
- Experience with Docker, Kubernetes, and CI/CD
- Knowledge of AI evaluation, monitoring, and prompt engineering
- Good understanding of data security and governance.
Nice to Have
- Experience with LlamaIndex or knowledge graphs
- Familiarity with advanced agent frameworks and LLM orchestration
- Experience with structured RAG (SQL/Graph-based retrieval)
Regards,
Avinash .K
Talent Acquisition Specialist
NasTech Global Inc,
Ph#:
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