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

- Solid 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

📌 Python GenAI Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru