Python GenAI Developer

Infosys; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys Bengaluru is seeking a talented AI software engineer to develop and maintain applications using Python and to build and integrate Generative AI solutions with LLMs.

The role focuses on designing RESTful APIs, backend services, and working with LangChain, Hugging Face and OpenAI APIs. You will collaborate with cross-functional teams, apply MLOps concepts, and optimize performance in a fast-paced environment.

Qualifications

• Strong knowledge of Python programming.
• Familiarity with REST APIs and JSON.
• Experience with LangChain, Hugging Face and OpenAI APIs.
• Understanding of LLMs, Prompt Engineering and RAG.
• Knowledge of Git and version control.

Responsibilities

• Develop and maintain applications using Python.
• Build and integrate Generative AI solutions using LLMs.
• Design and implement APIs and backend services.
• Work with AI/ML frameworks for model development and integration.
• Develop prompt engineering strategies and optimize model outputs.
• Integrate AI solutions with enterprise applications and databases.
• Collaborate with cross-functional teams to understand business requirements.
• Troubleshoot, debug, and optimize application performance.

Skills

Python programming

Generative AI / LLM concepts

REST APIs

SQL / NoSQL databases

Git / version control

Education

Bachelor of Engineering

Tools

LangChain

Hugging Face

OpenAI APIs

Transformers

Scikit-learn

Job description

Educational Requirements

Bachelor of Engineering

Service Line

Information Systems

Responsibilities

• Develop and maintain applications using Python.
• Build and integrate Generative AI solutions using Large Language Models (LLMs).
• Design and implement APIs and backend services.
• Work with AI/ML frameworks and libraries for model development and integration.
• Develop prompt engineering strategies and optimize AI model outputs.
• Integrate AI solutions with enterprise applications and databases.
• Collaborate with cross-functional teams to understand business requirements.
• Troubleshoot, debug, and optimize application performance.

Additional Responsibilities

• Preferred Skills Exposure to Vector Databases (FAISS, ChromaDB, Pinecone).
• Knowledge of AI agents and chatbot development.
• Understanding of MLOps concepts and model deployment.
• Good analytical and problem-solving skills.
• Key Competencies Strong communication and collaboration skills.
• Quick learner with a passion for emerging AI technologies.
• Ability to work in a fast-paced environment and deliver quality solutions.
• Keywords: Python, Generative AI, LLM, Prompt Engineering, LangChain, RAG, Hugging Face, OpenAI, Machine Learning, AI Chatbots, REST API, SQL, Vector Database.

Technical and Professional Requirements

• Strong knowledge of Python programming.
• Understanding of Generative AI concepts, LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation).
• Experience with AI/ML libraries such as LangChain, Hugging Face, OpenAI APIs, Transformers, Scikit-learn.
• Knowledge of REST APIs, JSON, and Microservices.
• Familiarity with SQL/NoSQL databases.
• Understanding of Git and version control systems.
• Basic knowledge of cloud platforms such as Azure, AWS, or GCP.

Preferred Skills

• Technology->AI-Data science->PYTHON