Python Developer RAG / GenAI Engineer

We are looking for a hands-on engineer who can build end-to-end GenAI pipelines - from document ingestion to retrieval and response generation.

You will work on modern AI architectures involving vector databases, embeddings, and real-time LLM integrations, helping deliver production-grade intelligent systems., * Build and maintain applications using Python for AI/GenAI use cases

• Design and implement RAG-based architectures for document retrieval and response generation

• Develop document ingestion pipelines:

• Loading * Parsing * Chunking * Embedding * Storage

Work with vector databases for similarity search and indexing

Implement document citation / source attribution in LLM responses

Integrate with LLM providers (OpenAI, AWS Bedrock, etc.)

Develop real-time systems using Streaming APIs and Server-Sent Events (SSE)

Handle metadata management, indexing, and retrieval optimization

Work with agent-based systems and integration patterns (MCP or similar)

Collaborate with product, UI, and backend teams for full solution delivery

• Experience: 5 + Years Experience
• Skills : GEN AI , RAG , Python

We are actively hiring for a Python Developer with strong experience in RAG (Retrieval Augmented Generation) and GenAI-based systems to build intelligent, scalable AI applications., * Strong hands-on experience in Python development

• Proven experience building RAG (Retrieval Augmented Generation) systems

• Experience with Vector Databases:

• Embeddings, similarity search, indexing

Strong experience in:

• Document parsing & extraction (PDF, structured/unstructured data)
• Document ingestion pipelines

Experience with:

• Streaming APIs and SSE (Server-Sent Events)
• LLM integrations (OpenAI, Bedrock, etc.)

Understanding of:

• MCP (Model Context Protocol) or similar agent frameworks

Strong knowledge of data handling, metadata, and retrieval optimization

Good to Have

• Experience with LangChain / LangGraph or similar frameworks
• Experience with chat-based or agent-based UI integrations
• Exposure to real-time AI applications and conversational systems, * Strong problem-solving mindset with hands-on coding ability
• Experience building production-grade AI systems (not just POCs)
• Ability to work independently in a fast-paced environment
• Passion for working with modern AI / GenAI technologies