Azure AI Data Engineer

Luxoft; India; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Luxoft in India is seeking an accomplished Senior AI Platform Engineer to design, build, and maintain an enterprise-grade Generative AI platform. You will develop scalable Python/FastAPI services, integrate with LLMs (OpenAI, Claude), and lead AI-driven recruitment workflows.

You will own end-to-end development from architecture to deployment, implement MLOps practices, and collaborate with product, security, and operations teams to deliver reliable, production-ready APIs.

Qualifications

• 7+ years of experience in software engineering and AI platform development.
• Strong expertise in Python, FastAPI, and microservices.
• Experience with LLMs, GenAI, and API design best practices.
• Hands-on with Docker, CI/CD (GitHub Actions) and cloud (Azure).
• Experience with retrieval-augmented generation and vector databases a plus.

Responsibilities

• Design, develop, and maintain scalable AI-powered services using Python and FastAPI.
• Build production-grade REST APIs integrated with LLMs (OpenAI, Claude).
• Develop Generative AI solutions including agents, plugins, and MCP integrations.
• Implement and optimize RAG pipelines and context-management strategies.
• Own end-to-end lifecycle: architecture, testing, deployment, monitoring, and delivery.
• Collaborate with product, security, and operations teams to ensure reliability.

Skills

LLM / GenAI

API design

Python

FastAPI

Microservices

DevOps

Docker

NoSQL databases

Azure

CI/CD tooling

Tools

Docker

GitHub Actions

Azure

CI/CD

Job description

• 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.

Mandatory Skills Description:

• 7+ years of experience
• Microservices Development | Python | FastAPI (With Async Programming) | Any NoSQL DB | Azure (Basic Experience) | DevOps (Docker)|| Agents |
• LLM / GenAI
• API
• FastAPI
• Python
• Deployment:

Docker

GitHub Actions