In this role, you will contribute to the design, development, and deployment of next-generation Agentic AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern orchestration frameworks.

You will collaborate with cross-functional teams to build scalable AI solutions that solve real-world business challenges while driving innovation across the organization.

Job Requirements :

- Design, develop, and maintain Agentic AI applications using modern AI frameworks such as LangGraph, LangChain, Google ADK, Phoenix, Guardrails, Mem0, and related technologies.

- Develop scalable Python-based solutions for agent orchestration, workflow automation, data processing, API integrations, and AI-driven applications.

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, prompt engineering frameworks, and memory management systems.

- Leverage Large Language Models (LLMs), vector databases, and semantic search technologies to deliver robust and accurate AI solutions.

- Evaluate, prototype, and integrate emerging AI technologies, including Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and related advancements in the Generative AI ecosystem.

- Collaborate with cross-functional teams to design, develop, and deliver innovative AI-powered products and features.

- Perform experimentation, testing, performance optimization, and debugging of AI applications to ensure scalability, reliability, and accuracy.

- Apply software engineering best practices, including code reviews, testing, documentation, and continuous improvement.

- Demonstrate strong proficiency in Python, including object-oriented programming and experience with libraries and frameworks such as NumPy, Pandas, FastAPI, and Streamlit.

- Possess hands-on experience working with LLM APIs, Agentic AI frameworks, and Generative AI application development.

- Have exposure to vector databases and AI tools such as FAISS, Milvus, Hugging Face, or similar technologies.

- Exhibit strong analytical, problem-solving, and communication skills with the ability to work effectively in a fast-paced, collaborative environment.

Education :

- Typically requires a minimum of 4- 8 years of related experience.

- Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Information Technology, or a related technical field; or equivalent work experience.

- Experience building enterprise software applications with a strong focus on Python development and Generative AI technologies.

- Proven experience developing AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and modern AI orchestration patterns.

- A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is a plus