Python Developer (Gen AI)

Infosys; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Infosys is seeking a Python Developer (GenAI) to design and implement AI-powered applications. The role focuses on integrating LLMs, building scalable Python backends, and delivering production-grade GenAI solutions.

You will work with LangChain, LlamaIndex, and Hugging Face, and collaborate with data scientists and engineers to optimize AI workflows. The candidate should have 3–5 years of Python experience, strong OOP, and hands-on GenAI expertise, including experience with OpenAI platforms and

Qualifications

• Bachelor's degree in CS/IT/AI or related field.
• 3–5 years of Python development experience.
• Strong Python and OOP skills.
• Hands-on experience with Generative AI and LLMs.
• Experience with OpenAI, Azure OpenAI, Claude, Gemini, or similar platforms.
• Knowledge of LangChain, LlamaIndex, Hugging Face.
• Experience building and consuming REST APIs.
• Familiarity with vector databases like Pinecone, ChromaDB, FAISS, or Azure AI Search.
• Proficiency with Git and SDLC best practices.

Responsibilities

• Design, develop, and maintain Generative AI applications using Python.
• Build and deploy AI-powered solutions leveraging LLMs.
• Develop and integrate REST APIs and backend services for AI applications.
• Implement RAG solutions using vector databases.
• Work with LangChain, LlamaIndex, and Hugging Face frameworks.
• Collaborate with data scientists, product managers, and engineering teams to deliver AI-driven solutions.
• Optimize prompts, workflows, and model performance.
• Monitor, troubleshoot, and improve AI apps in production.
• Ensure scalability, security, and reliability of AI systems.
• Document technical designs and deployment procedures.

Skills

Python

Generative AI

LLMs

REST APIs

Prompt engineering

LangChain

LlamaIndex

Hugging Face

Vector databases

Git

Education

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field

Tools

Docker

Kubernetes

CI/CD pipelines

Azure/AWS/GCP

Job description

Python Developer (GenAI)

Job Summary

We are seeking a skilled and innovative Python Developer with Generative AI expertise to join our technology team. The ideal candidate will be responsible for developing AI-powered applications, integrating Large Language Models (LLMs), building intelligent automation solutions, and creating scalable backend services using Python. The role requires hands‑on experience with modern AI frameworks, prompt engineering, and deploying GenAI solutions in production environments.

Key Responsibilities

• Design, develop, and maintain Generative AI applications using Python.
• Build and deploy AI-powered solutions leveraging Large Language Models (LLMs) such as GPT, Llama, Claude, or similar models.
• Develop and integrate RESTful APIs and backend services for AI applications.
• Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Work with AI frameworks such as LangChain, LlamaIndex, and Hugging Face.
• Collaborate with data scientists, product managers, and engineering teams to define and deliver AI-driven solutions.
• Optimize prompts, workflows, and model performance to improve response quality and efficiency.
• Monitor, troubleshoot, and enhance AI applications in production environments.
• Ensure scalability, security, and reliability of AI systems.
• Document technical designs, processes, and deployment procedures.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
• 3 to 5 years of experience in Python development.
• Strong proficiency in Python and object-oriented programming.
• Hands‑on experience with Generative AI and Large Language Models (LLMs).
• Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or similar AI platforms.
• Knowledge of LangChain, LlamaIndex, Hugging Face, or equivalent AI orchestration frameworks.
• Experience building and consuming REST APIs.
• Strong understanding of vector databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search.
• Familiarity with SQL and NoSQL databases.
• Proficiency with Git and software development best practices.

Preferred Skills

• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
• Knowledge of RAG architecture, prompt engineering, and AI agent frameworks.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with machine learning concepts and model fine‑tuning.
• Experience with NLP, embeddings, semantic search, and AI observability tools.
• Knowledge of microservices architecture and event‑driven systems.