We are seeking a skilled GenAI Developer with a strong background in Data Science, AI, ML, GenAI, and NLP technologies to join our offshore team. This role requires a proactive problem-solver adept at developing innovative technical solutions.

You will leverage your expertise in agentic AI frameworks and various LLM technologies to build cutting-edge generative AI applications. Your contributions will be crucial in handling diverse data types and developing robust AI agents.

Design and implement advanced GenAI solutions using agentic AI frameworks like LangGraph and LlamaIndex.

Develop and integrate applications utilizing both commercial (OpenAI on Azure, AWS Bedrock) and open-source LLMs, VLMs, and SLMs.

Implement and optimize various RAG techniques, including Knowledge Graph RAG, RAG Fusion, and Agents.

Develop Python code efficiently, including experience with FastAPI, and demonstrate a deep understanding of prompt engineering.

Build and deploy guardrails for LLMs, working with both open-source and cloud-native models.

Manage and process large volumes of unstructured and structured data effectively.

A minimum of 4 years of experience in Data Science, AI, ML, GenAI, and NLP is required.

Demonstrated proficiency with agentic AI frameworks such as LangGraph, LlamaIndex, MCP, and Tools registry, including intent-based routing.

Hands-on experience with paid LLMs (OpenAI on Azure, AWS Bedrock) and open-source LLMs, VLMs, and SLMs.

Proven experience in RAG techniques (RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, NLQ to SQL).

Experience in handling large unstructured and structured data sets.

Strong Python programming skills, with the ability to write efficient code and experience with FastAPI.

Excellent understanding of prompt engineering techniques and developing LLM guardrails.

Familiarity with RDBMS, PostgreSQL, and NoSQL databases is essential.