Senior AI Tech Lead Developer
Job Location:
San Jose, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Senior AI Tech Lead / Developer
San Jose CA(Onsite- 3 Days)
Contract -6 Months
San Jose CA(Onsite- 3 Days)
Contract -6 Months
Required Skills
10 -12 Years of experience
Core AI / GenAI
Hands-on experience in:
LLMs (OpenAI Claude Gemini etc.)
LangChain LangGraph
RAG architectures and vector databases
Experience building AI agents tool integrations or multi-agent orchestration
10 -12 Years of experience
Core AI / GenAI
Hands-on experience in:
LLMs (OpenAI Claude Gemini etc.)
LangChain LangGraph
RAG architectures and vector databases
Experience building AI agents tool integrations or multi-agent orchestration
Programming & Data
Strong expertise in:
Python (primary language)
PL/SQL (mandatory)
Experience working with:
Oracle ERP / Fusion / EBS
Structured and unstructured data handling
Strong expertise in:
Python (primary language)
PL/SQL (mandatory)
Experience working with:
Oracle ERP / Fusion / EBS
Structured and unstructured data handling
DevOps & Platform
Hands-on experience with:
Docker / containerization
GitHub / Git workflows
CI/CD tools (GitHub Actions / Jenkins / DevOps)
Hands-on experience with:
Docker / containerization
GitHub / Git workflows
CI/CD tools (GitHub Actions / Jenkins / DevOps)
Key Responsibilities
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
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
Engineering & Development
Develop scalable applications using Python APIs and microservices
Build reusable AI components and orchestration layers
Ensure code quality performance and security compliance
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
Enterprise AI Enablement
Integrate AI solutions with ERP / SCM platforms (Oracle preferred)
Build AI use cases such as copilots process advisors and automation agents