Azure AI Data Engineer

Luxoft

Mumbai, Pune District, Chennai

On-site

INR 4,000,000 - 7,500,000

Full time

3 days ago

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Job summary

Luxoft in India seeks a senior AI platform engineer to design and build an enterprise-grade Generative AI platform using Python, FastAPI, and FastMCP. The role focuses on automating recruitment workflows, candidate insights, and scalable APIs that integrate with OpenAI GPT and Anthropic Claude.

You will implement retrieval-augmented generation pipelines with vector stores like Pinecone and Milvus, develop AI agents and plugins, and own the full lifecycle from architecture to deployment,

Qualifications

7+ years of experience designing scalable AI platforms.
Proficiency in Python, FastAPI, and FastMCP.
Experience with OpenAI GPT and Anthropic Claude.
Hands-on with LangChain, Pinecone/Milvus, and RAG architectures.
Containerization with Docker and cloud platforms (Azure/AWS).
Familiarity with CI/CD, monitoring and observability.

Responsibilities

Design, develop, and maintain scalable AI-powered services.
Build and deploy production-grade REST APIs for AI workflows.
Develop LLM integration and RAG pipelines.
Create AI Agents/Plugins and MCP-based integrations.
Implement monitoring, logging, and performance optimizations.
Collaborate with product managers and engineers to translate requirements.
Mentor teammates and contribute to code reviews.

Skills

Python

FastAPI

FastMCP

OpenAI GPT

Anthropic Claude

LangChain / LangGraph

Pinecone / Milvus

RAG Architecture

AI Agents Plugins

Docker

Azure / AWS

GitHub

Monitoring / Observability

Tools

Kubernetes

Terraform

Kafka

Snowflake

Microsoft Fabric

Azure AI Search

Microsoft Purview

Job description

Job Summary

Designed and developed an enterprise-grade Generative AI platform using Python, FastAPI, and FastMCP to automate recruitment workflows and provide intelligent candidate insights. Built scalable, production-ready APIs that integrated with OpenAI GPT and Anthropic Claude models for candidate screening, resume analysis, job matching, and automated recruiter assistance.

Implemented RAG (Retrieval-Augmented Generation) pipelines using vector databases such as Pinecone/Milvus to provide context-aware responses from enterprise knowledge repositories. Developed AI Agents and custom plugins/skills to automate candidate engagement, interview scheduling, talent recommendations, and workflow orchestration.

Owned the complete application lifecycle, including architecture design, API development, deployment, monitoring, observability, logging, and performance optimization. Leveraged AI-assisted development tools such as Claude, Codex, and VS Code to accelerate development, debugging, code reviews, and delivery.

Responsibilities

Design, develop, and maintain scalable, high-performance applications using Python, FastAPI, and FastMCP.
Build and deploy production-grade REST APIs and AI-powered services following best practices for security, performance, and reliability.
Develop and integrate Generative AI solutions using Large Language Models (LLMs) such as OpenAI GPT and Anthropic Claude.
Design and implement AI Agents, Plugins, Skills, and MCP-based integrations to automate business workflows.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases such as Pinecone or Milvus.
Create prompt engineering frameworks and context-management strategies to improve LLM response quality.
Develop end-to-end AI solutions covering architecture, implementation, testing, deployment, and production support.
Collaborate with product managers, architects, and business stakeholders to translate requirements into technical solutions.
Implement monitoring, logging, observability, and performance optimization for AI applications and APIs.
Ensure code quality through unit testing, code reviews, CI/CD pipelines, and adherence to software engineering best practices.
Evaluate and adopt emerging AI technologies, frameworks, and industry best practices.
Leverage AI-assisted development tools such as Claude, Codex, and VS Code to accelerate development, debugging, and delivery.
Troubleshoot complex technical issues and provide timely resolutions in production environments.
Mentor team members and contribute to technical design discussions and innovation initiatives.

Skills

Must have