AI Engineer + Data Scientist

Location: Bangalore / Hybrid
Experience: 5+ Years
Employment Type: Full-Time

Job Summary

We are looking for an experienced AI Engineer / Data Scientist with strong expertise in Generative AI, Large Language Models (LLMs), Agentic AI, RAG, Machine Learning, Python, Azure AI, and Databricks. The ideal candidate will be responsible for designing, developing, deploying, and optimizing production-grade AI and GenAI applications for enterprise use cases.

The candidate should have hands-on experience building LLM applications, AI agents, RAG pipelines, vector search solutions, AI APIs, and cloud-based machine learning solutions using Microsoft Azure and modern AI frameworks.

Key Responsibilities

• Design, develop, and deploy Generative AI (GenAI), LLM, and Agentic AI applications.
• Build scalable Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, semantic search, and vector search solutions.
• Develop intelligent AI Agents and multi-agent systems using LangGraph, AutoGen, CrewAI, or PydanticAI.
• Develop and optimize Large Language Model (LLM) applications, prompt engineering, context engineering, and AI workflows.
• Work extensively with Python, Machine Learning, NLP, Generative AI, and AI/ML frameworks.
• Build enterprise AI solutions using Azure OpenAI, Azure AI Search, and Azure AI Services.
• Work with Azure Databricks, MLflow, Delta Lake, and cloud-based data platforms.
• Develop scalable REST APIs and integrate AI/ML services with enterprise applications.
• Containerize and deploy AI applications using Docker, Kubernetes, and Azure Kubernetes Service (AKS).
• Implement CI/CD pipelines, MLOps, model monitoring, AI evaluation, observability, and AI guardrails.
• Optimize AI applications for performance, scalability, reliability, security, and cost efficiency.
• Collaborate with Data Scientists, ML Engineers, Software Engineers, and business teams to deliver enterprise AI solutions.
• Build and maintain production-ready AI/ML solutions with measurable business outcomes.

Required Skills

• Strong hands-on experience with Python
• Generative AI / GenAI
• Large Language Models (LLMs)
• Agentic AI / AI Agents
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• LangGraph / AutoGen / CrewAI / PydanticAI
• Azure OpenAI
• Azure AI Search
• Azure AI Services
• Azure Databricks
• MLflow
• Delta Lake
• Vector Databases / Vector Search
• Docker
• Kubernetes / AKS
• REST APIs
• CI/CD
• MLOps
• AI Model Evaluation & Monitoring
• AI Guardrails

Preferred Qualifications

• Experience building enterprise-grade GenAI and AI/ML applications.
• Strong understanding of NLP, Machine Learning, Deep Learning, embeddings, semantic search, and vector databases.
• Experience with cloud-based AI/ML architecture, preferably Microsoft Azure.
• Experience deploying AI solutions in production environments.
• Strong understanding of software development, API integration, DevOps, and MLOps practices.
• Ability to work in a fast-paced, collaborative, and technology-driven environment.