We are hiring for below position. Title: AI/ML Developer Location Charlotte NC (Local Candidate only) Client: Wells Fargo( We are working with Prime Vendor) Visa: Independent Candidated No H1B Mode of Interview: In-Person Job Overview We are looking for a highly capable Python & AI/ML with deep expertise in backend engineering, LLM-based applications, RAG architectures, and AI agent frameworks. You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases. This is a hands-on leadership role focused on building scalable and intelligent AI products. Key Responsibilities Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems. Provide technical guidance, conduct code reviews, and mentor junior team members. Drive best practices in Python backend engineering, API development, and AI system design. Backend Engineering (Python) Build and maintain backend services using FastAPI or Flask. Develop scalable API endpoints for AI applications, embeddings, and retrieval systems. Ensure backend code quality, modularity, performance, and maintainability.LLMs, RAG, and AI Agent Development Build AI applications using: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs. Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques. Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere, etc.). Manage prompt engineering, prompt routing, safety guardrails, and evaluation metrics. Data & Vector Search Engineering Build data pipelines for indexing, embeddings, and retrieval workflows. Work with SQL databases (PostgreSQL, MySQL, etc.) for metadata and application storage.
Required Qualifications Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or related fields. 8 TO 10 years of experience in Python backend development. Strong proficiency in FastAPI or Flask. Strong working knowledge of SQL databases (Postgres, MySQL, etc.). Hands-on expertise with vector databases: Redis, Postgres/pgvector, Elasticsearch, or Neo4j. Practical experience with FAISS for similarity search. Hands-on experience with modern LLM frameworks: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen. Strong understanding of: Embeddings & vector search RAG pipelines Retrieval optimization Chunking strategies Document loaders & indexing Experience building AI apps using OpenAI SDK or similar. Experience deploying APIs/services using Docker and cloud environments. Leadership experience: guiding teams, conducting reviews, driving architecture decisions
For applications and inquiries, contact: [email protected]
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