Job Title: AI/ML Engineer with Agentic AI Work experience: 12+ years Location: San Jose, CA / Dallas TX(Onsite) Rate $60/hr. On C2C

[Bharath kumar]

Job Title: AI/ML Engineer with Agentic AI

Work experience: 12+ years

Location: San Jose, CA / Dallas TX(Onsite)

Rate $60/hr. On C2C

 

Key Responsibilities

• Research and prototype Advanced RAG techniques (e.g., chunking strategies, retrieval optimization, knowledge graph integration).
• Explore and implement Agentic AI patterns (e.g., supervisor vs plan-execute workflows).
• Investigate and develop methods for reducing memory footprint and improving LLM response quality.
• Design and experiment with LLM fine-tuning strategies for domain-specific applications.
• Collaborate on data preprocessing pipelines, including SQL-based processing and advanced text preprocessing techniques.
• Leverage LangChain ecosystem tools: LangChain, LangGraph, LangSmith for building and evaluating AI workflows.
• Experiment with LLMs such as GPT-4+, Gemini, LLaMA, and others for various use cases.
• Apply design patterns in AI and backend development for scalability and maintainability.
• Contribute to ML Ops and LLM Ops best practices to streamline research-to-production pipelines.

Must-Have Skills & Experience

• Programming: Deep expertise in Python, asynchronous programming, and software design patterns.
• Data Processing: Strong SQL skills, data preprocessing, and transformation techniques.
• LangChain Ecosystem: Hands-on experience with LangChain, LangGraph, and LangSmith.
• LLM Experience: Familiarity with leading models like GPT-4+, Gemini, LLaMA.
• AI Expertise:
• Agentic AI patterns.
• Advanced RAG methods.
• LLM fine-tuning approaches.
• ML Ops & LLM Ops workflows.

Nice-to-Have Skills

• Cloud Platforms: AWS or GCP experience.
• DevOps: CI/CD and containerized environment familiarity