Description

You will build and maintain AI-driven applications and backend services using Java, Python, and modern Generative AI frameworks.

This role is on-site.

Responsibilities

• Develop and maintain backend services and AI agents using Java and/or Python.
• Build and optimize Gen AI applications involving prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflows.
• Implement the Model Context Protocol (MCP) to standardize AI interactions with external tools, databases, and services.
• Utilize vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and context retrieval.
• Collaborate with product and research teams to translate AI roadmap goals into technical deliverables.

Required Skills

• 5+ years of strong programming skills in Java and/or Python.
• Solid understanding of Generative AI concepts, including prompt design, RAG pipelines, and agentic workflows.
• Experience implementing MCP for scalable, secure, and standardized AI-to-tool integrations.
• Proficiency with LangChain and LlamaIndex.
• Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and open-source models like LLaMA or Mistral.
• Knowledge of RESTful APIs, microservices, and cloud platforms (AWS, Azure, GCP).
• Any Graduate degree.

Preferred Skills

• Experience with vector databases such as FAISS, Pinecone, or Weaviate.

Key Skills

Education

Any Graduate