Job Purpose

We are looking for a skilled AI Engineer to design, build, and deploy Generative AI solutions using Large Language Models (LLMs) such as GPT and Gemini. The ideal candidate has strong experience in prompt engineering, Python development, Retrieval-Augmented Generation (RAG), and deploying scalable AI applications on Linux servers and Azure Kubernetes Service (AKS).

Duties and Responsibilities

Key Responsibilities

Design, develop, and deploy AI applications using GPT, Gemini, and other LLMs

Create and optimize prompt engineering strategies for reliable and high-quality outputs

Build and maintain RAG pipelines using embeddings and vector databases

Develop backend services and APIs using Python

Deploy, manage, and optimize AI applications on Linux servers

Containerize applications and deploy them on AKS

Monitor system performance, scalability, and cost

Implement security, access control,



and data privacy best practices

Required Qualifications and Experience

Hands-on experience with GPT, Gemini, or similar LLM platforms

Robust expertise in prompt writing and prompt optimization

Solid experience with RAG (Retrieval-Augmented Generation) architectures

Proficiency in Python

Experience with vector databases (Azure Cognitive Search, Pinecone, FAISS, etc

Strong knowledge of Linux server environments

Experience deploying applications on AKS (Azure Kubernetes Service)

Familiarity with Git and CI/CD pipelines

Preferred / Nice-to-Have

Experience with Azure OpenAI / Azure AI services

Knowledge of Docker and Kubernetes internals

Experience with monitoring tools (Azure Monitor)

Exposure to LLM fine-tuning and evaluation

📌 Unit Manager - AI Unit/Senior Unit Manager - AI Unit (Pune)
🏢 Bajaj Finance
📍 Pune