Python Developer (Gen AI) at Infosys · Hybrid -…

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.