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Python Gen AI Engineer

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Hybrid

Python Gen AI Engineer

Rarr Technologies

Python Gen AI Engineer

Skills

SQL QueriesMongoDBReactTypescriptPythonPostgreSQLMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹2,250,000 / year

Work mode:

Hybrid

Published on:

24 September 2026

What they need


Design, develop, and maintain scalable high-performance applications using Python, TypeScript, and React.

Build and enhance modern web applications with responsive and intuitive user interfaces.

Develop, test, and deploy RESTful APIs and backend services for enterprise-grade solutions.

Design and implement Generative AI solutions leveraging Large Language Models (LLMs) and AI frameworks.

Develop and optimize Retrieval-Augmented Generation (RAG) systems for knowledge-driven applications.

Build intelligent AI agents, chatbots, and conversational assistants to automate business processes.

Integrate AI/ML models with web applications and enterprise systems to deliver innovative user experiences.

Collaborate with cross-functional teams including product managers, architects, and UX designers to define and deliver scalable solutions.

Ensure application reliability, security, performance, and maintainability through best engineering practices.

Troubleshoot, debug, and optimize applications across the full technology stack.

Participate in code reviews, technical design discussions, and architecture decisions.

Follow Agile/Scrum methodologies and contribute to continuous improvement initiatives.

Stay current with emerging technologies, Generative AI advancements, and industry best practices.

Required Skills:

  • Strong proficiency in Python development
  • Hands-on experience with Generative AI, LLMs, prompt engineering, and AI orchestration frameworks
  • Experience building RAG pipelines, vector databases, and AI-powered applications
  • Strong knowledge of TypeScript and React.js
  • Expertise in API development and integration using REST principles
  • Experience with databases such as PostgreSQL, SQL Server, MongoDB, or similar
  • Understanding of software design patterns, testing frameworks, and DevOps practices

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