Design, build, and deploy AI agents capable of performing autonomous tasks and interacting with users or systems, enhancing operational efficiency and decision-making.

Implement generative AI solutions and multi-agent systems to drive business innovation, improve automation, and deliver creative problem-solving capabilities across applications.

Work closely with cross-functional teams to define technical requirements, specifications, and ensure smooth integration of AI solutions into existing systems and workflows.

Manage vector databases (e.g., Pinecone, Chroma DB, Milvus) for data ingestion, storage, and optimized query execution, focusing on high performance for similarity search and fast retrieval.

Develop advanced retrieval strategies and prompt engineering techniques to enhance the capabilities of generative models, ensuring efficient and accurate data extraction and model performance.

Education Qualification : Bachelor/Master degree in computer science or AI or relevant.

Experience: 2-3+ years in software engineering, with 2+ years in AI and 1+ year in generative AI.

Proficient in Python, JavaScript, API Development, AWS/Azure & optimizing database like SQLite and SQL

Experience with LangChain, LangGraph, LlamaIndex, vector databases, and RAG systems for model integration.

We believe in passion and potential! Even if you don't meet all the listed criteria, if you feel you’re a strong fit for the role, we encourage you to showcase your talents through awards you've won or exciting projects you've worked on. We are here to attentively consider and evaluate the contributions you have to offer.