Aziro - Senior Artificial Intelligence Engineer - Python

Description :

Role : Senior AI Developer

Location : Bangalore, Pune, Chennai, Nodia

Experience : 5 to 10 yrs

Role Summary :

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