AI Developer with extensive experience in building intelligent agent systems using LangChain, MCP, and Oracle Generative AI services. The ideal candidate will architect and deliver enterprise-grade AI-powered analytics solutions, working closely with business and technical stakeholders.

Responsibilities

Design, develop, and deploy intelligent analytics agents using Oracle Generative AI services.

Build LangChain-based orchestration pipelines integrating structured and unstructured enterprise data sources.

Implement Model Context Protocol (MCP) servers and clients for tool integration and context management.

Develop data ingestion and transformation pipelines for Oracle databases and analytics platforms.

Create context-aware analytics assistants with role-based access control and data governance.

Integrate AI agents with enterprise platforms and business intelligence tools.

Collaborate with data engineers, business analysts, and architects on solution design and deployment.

Must-Have Skills

Strong expertise in Python programming and async frameworks

Deep experience with LangChain framework (agents, chains, tools, memory)

Hands-on experience implementing Model Context Protocol (MCP) integrations

Proficiency with Oracle Generative AI APIs and services, if not, must have Proficiency working with OpenAI, Claude GenAI

Experience working with Oracle databases and analytics platforms

Knowledge of data security, access control, and compliance mechanisms

Strong debugging and performance optimization skills

Nice-to-Have Skills

Experience with Oracle Analytics Cloud (OAC) or Oracle APEX

Familiarity with vector databases and embeddings (ChromaDB, Pinecone, FAISS)

Knowledge of LangGraph for complex agent workflows

Experience with FastAPI, Streamlit, or other Python web frameworks

Understanding of prompt engineering and LLM optimization techniques

Exposure to MLOps practices and model monitoring

Soft Skills

Strong communication skills to translate business requirements into technical solutions

Analytical mindset with attention to data accuracy and quality

Ability to work independently and drive initiatives to completion

Strong documentation skills and ability to conduct knowledge transfer sessions

Collaborative team player comfortable working across technical and business teams