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We are hiring for below position.
Title: AI/ML Developer
Location Iselin NJ
Client: Wells Fargo( We are working with Prime Vendor)
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.
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
We are hiring for below position.
Title: AI/ML Developer
Location Iselin NJ
Client: Wells Fargo( We are working with Prime Vendor)
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.
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