Job Description: AI Engineer – LLM & Enterprise AI Solutions (6–8 Years)

Location

Bengaluru / Hybrid

Experience

6–8 years (with 3+ years in AI/ML and at least 1–2 years in GenAI/LLM-based
solutions)

Role Overview

We are seeking an experienced AI Engineer to partner with Data Scientists and
build production-grade AI solutions leveraging Large Language Models (LLMs) and
enterprise knowledge bases. This role focuses on bridging research and
engineering by converting models and prototypes into scalable, secure, and
reliable applications following full SDLC practices.

Key Responsibilities
* Collaborate closely with Data Scientists to operationalize ML/AI models into
production systems
* Design and develop LLM-powered applications such as copilots, chatbots, and
knowledge assistants
* Build Retrieval-Augmented Generation (RAG) pipelines using enterprise data
* Integrate AI solutions with knowledge bases, document stores, and vector
databases
* Develop end-to-end pipelines for ingestion, embedding, retrieval, and
inference




* Ensure adherence to SDLC processes including testing, deployment, and
monitoring
* Deploy solutions on cloud platforms with focus on scalability and reliability
* Implement MLOps practices including CI/CD, monitoring, and retraining
* Ensure security, governance, and responsible AI practices

Required Skills
* Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face)
* Robust understanding of RAG, embeddings, prompt engineering
* Proficiency in Python / Java and API development
* Experience with Java Spring boot / FastAPI/ Flask and microservices
* Knowledge of vector databases like FAISS or Pinecone
* Experience in SQL, big data technologies (Spark, Redshift), complex data
processing, and data modeling.
* Cloud deployment experience (Azure/AWS/GCP)
* Familiarity with Docker, Kubernetes, CI/CD

Preferred Qualifications
* Experience in enterprise environments
* Knowledge of LangChain, LlamaIndex, Semantic Kernel
* Understanding of model

📌 Software Engineering II-SUPPORT SERVICES-Data (Bengaluru)
🏢 Kotak
📍 Bengaluru