AI Tech Lead Developer

Job Title AI Tech Lead / Developer

Duration 12 Months Contract

Location San Jose CA

Note: Need Locals and W2 Candidates Only

Mandatory Skills : AI/GenAI Research OR - Oracle AI and Chat BOT

Job Description:

Role Summary

Senior AI Tech Lead / Developer to design and build next-generation Agentic AI solutions leveraging Generative AI LLMs and RAG architectures. The role requires strong hands-on expertise in Python LangChain LangGraph along with enterprise engineering skills and experience integrating AI with ERP systems.

Key Responsibilities

1. Agentic AI Development

Design and build AI agents multi-agent systems and tool-driven workflows

Implement RAG pipelines (embeddings vector DBs semantic retrieval)

Integrate LLM-based solutions with enterprise applications and APIs

2. Architecture & Technical Leadership

Define scalable GenAI enterprise architectures

Lead solution design guide development teams and enforce best practices

Evaluate emerging LLMs frameworks and MCP tools ecosystems

3. Engineering & Development

Develop scalable applications using Python APIs and microservices

Build reusable AI components and orchestration layers

Ensure code quality performance and security compliance

4. DevOps & Deployment

Deploy solutions using Docker / containers and CI/CD pipelines

Work with GitHub version control and DevOps workflows

Enable monitoring scalability and production readiness

5. Enterprise AI Enablement

Integrate AI solutions with ERP / SCM platforms (Oracle preferred)

Build AI use cases such as copilots process advisors and automation agents

Required Skills

Core AI / GenAI

Hands-on experience in:

o LLMs (OpenAI Claude Gemini etc.)

o LangChain LangGraph

o RAG architectures and vector databases

Experience building AI agents tool integrations or multi-agent orchestration

Programming & Data

Strong expertise in:

o Python (primary language)

o PL/SQL (mandatory)

Experience working with:

o Oracle ERP / Fusion / EBS

o Structured and unstructured data handling

DevOps & Platform

Hands-on experience with:

o Docker / containerization

o GitHub / Git workflows

o CI/CD tools (GitHub Actions / Jenkins / DevOps)

Nice to Have

Experience with SCM / Finance / HCM business processes

Knowledge of MCP tools / agent frameworks

Exposure to AI governance guardrails and enterprise security