Job Locations - Bengaluru/Chennai/Hyerabad/Pune

Looking for Immediate or early joiners only.

Primary Skills

Generative AI, LLMs, RAG, NLP, Prompt Engineering, Agentic AI, Python, REST APIs, LangChain/LangGraph/LlamaIndex, Vector Databases, Gemini Enterprise Agent Platform, GCP (BigQuery, Cloud Functions, Cloud Run), IAM & Responsible AI.

Valuable to Have Skills:

MLOps/LLMOps, MLflow, Docker, Kubernetes, PyTorch, TensorFlow, GraphRAG, Knowledge Graphs, Databricks, Multimodal AI, Agent Platform Pipelines.

Job Overview:

We are looking for an experienced AI Engineer with experience in designing, developing, and deploying AI-powered applications using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and NLP.

The ideal candidate should have hands-on experience building enterprise AI solutions using Python, Gemini Enterprise Agent Platform, and GCP services.

Key Responsibilities

- Design and develop AI-powered applications, copilots, chatbots, and knowledge assistants.
- Build and optimize RAG pipelines using embeddings, vector databases, and semantic search.
- Develop NLP solutions for text classification, summarization, entity extraction, and sentiment analysis.
- Implement prompt engineering, AI agents, model evaluation, and responsible AI practices.
- Deploy and manage AI solutions using Gemini Enterprise Agent Platform and GCP services.




- Develop APIs and integrate AI capabilities with enterprise applications.
- Collaborate with Data Engineering and Cloud teams to build scalable AI solutions.

Required Skills AI & GenAI

- Generative AI (GenAI)
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Natural Language Processing (NLP)
- Prompt Engineering
- AI Agents / Agentic AI
- Fine-tuning and evaluation of LLMs
- Model Context Protocol (MCP)
- Agent Skills
- Grounding with enterprise data
- Tool use / function calling
- Agent orchestration
- Agent monitoring and observability
- IAM, security, and access control for AI agents
- Evaluation datasets and test cases for agents
- Responsible AI governance on GCP

Programming

- Python
- REST API Development
- FastAPI / Flask
- SQL & NoSQL Databases

Frameworks & Tools

- LangChain
- LangGraph
- LlamaIndex
- Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)

Google Cloud Platform (GCP)

- Gemini Enterprise Agent Platform

- Agent Studio

- Agent Engine

- Model Garden

- Vector Search

- Agent Search

- Agent Evaluation

- Agent Registry

- Agent Gateway

- BigQuery
- Cloud Functions / Cloud Run

Good to Have

- MLOps / LLMOps
- Agent Platform Pipelines
- MLflow
- Docker & Kubernetes
- PyTorch / TensorFlow
- GraphRAG / Knowledge Graphs
- Databricks
- Multimodal AI

📌 AI Engineer (Bengaluru)
🏢 Mphasis
📍 Bengaluru