Sr GenAI Engineer - VectorDBand PostgreSQL (IN)

Prompt engineering, Python

Vector Databases, RESTful API, PostgreSQL

Hands-on experience with LLMs, RAG, AI orchestration frameworks, Vector Databases, LLM Fine-Tuning, Prompt Engineering, NLP, Python, API Integration, Model Evaluation

Strong Understanding Of Genai Concepts, Prompt Engineering, And Llm Application. 2. Good Proficiency In Python Programming For Genai Development. 3. Experience With Restful Api Creation And Integration Using Flask, Django, Or Fastapi. 4. Familiarity With Database Management Using Postgresql, Mysql, And Vectordb Technologies Such As Pinecone. 5. Basic Knowledge Of Embedding Techniques And Azure Ai Search For Genai Solutions. 6. Ability To Participate In Code Reviews And Technical Documentation Processes.

Optional but valuable: Microsoft Certified: Azure AI Engineer Associate 2. Google Cloud Professional Machine Learning Engineer

Multi-Agent Systems, 1. Ability to view the gating findings application wise, criteria wise, leaders wise, defaulters wise and many other filter criterias which can be useful to streamline the process

Demonstrate the ability of the solution to span new agents based on the pattern to resolve the issues.

Document the feedbacks properly to train the model.

Ability to see the automated learning with the new scenario additions automatically