Generative AI Engineer

Luxoft; India; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Luxoft India is seeking a senior software engineer to design, develop, and maintain scalable, AI-enabled applications using Python, FastAPI, and microservices. The role emphasizes building production-grade APIs, implementing RAG pipelines where applicable, and aligning with security and reliability best practices.

The candidate should have strong experience with async programming, NoSQL databases, and DevOps practices, and be ready to mentor teammates while driving architecture discussions and

Qualifications

• 7+ years of experience in software development.
• Proficient in Python, FastAPI and microservices architecture.

Responsibilities

• Design, develop, and maintain scalable applications using Python, FastAPI and microservices.
• Build and operate production-grade REST APIs and AI-powered services.
• Collaborate with product managers and architects to translate requirements into technical solutions.
• Implement and maintain CI/CD pipelines, testing, logging, and monitoring for performance and reliability.
• Mentor team members and contribute to architectural discussions.

Skills

Microservices

Python

FastAPI

Async programming

NoSQL

Azure

DevOps

Agents

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 |