Azure AI Data Engineer

Luxoft; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Luxoft is seeking a senior engineer to design and develop an enterprise-grade Generative AI platform in the United States. You will build scalable REST APIs with Python/FastAPI, integrate with OpenAI GPT and Anthropic Claude, and develop RAG pipelines using Pinecone or Milvus.

You will own end-to-end architecture, deployment, monitoring, and performance optimization. The role involves mentoring teammates, collaborating with product and architecture, and evaluating new AI technologies to improve

Qualifications

• 7+ years of professional software development experience.
• Proficiency with Python, FastAPI, and FastMCP.
• Experience integrating OpenAI GPT and Anthropic Claude models.

Responsibilities

• Design, develop, and maintain scalable, high-performance applications using Python, FastAPI, and FastMCP.

Skills

Python

FastAPI

FastMCP

OpenAI GPT

Anthropic Claude

LangChain

Pinecone

Milvus

Docker

Azure

AWS

GitHub

Monitoring & Observability

RAG Architecture

AI Agents & Plugins

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

Job description

Project 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
• Python
• FastAPI
• FastMCP
• OpenAI GPT
• Anthropic Claude
• LangChain / LangGraph
• Pinecone / Milvus
• RAG Architecture
• AI Agents & Plugins
• Docker
• Azure / AWS
• GitHub
• Monitoring & Observability Tools

Nice-to-Have Skills Description:

• Azure AI Search
• Microsoft Fabric
• Kafka
• Snowflake
• Terraform
• Docker / Kubernetes
• Microsoft Purview

Languages:

• English: C1 Advanced