Service Line

Information Systems

Educational Requirements

- Bachelor of Engineering

Responsibilities
- Develop and deploy Generative AI solutions using LLMs and AI frameworks.
- Build AI-powered applications, chatbots, and automation solutions.
- Design and implement prompts, RAG pipelines, and AI workflows.
- Integrate AI models with enterprise applications and APIs.
- Fine-tune, evaluate, and optimize model performance.
- Collaborate with cross-functional teams to understand business requirements.
- Perform testing, debugging, and monitoring of AI applications.
- Stay updated with emerging trends in Generative AI and Machine Learning.

Additional Responsibilities
- Exposure to RAG (Retrieval-Augmented Generation) architectures.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Basic understanding of MLOps and model deployment.
- Experience with Git and Agile methodologies.

Technical and Skilled Requirements




- 1-2 years of experience in Python development.
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Experience with frameworks such as LangChain, LlamaIndex, or similar.
- Understanding of Machine Learning and NLP concepts.
- Familiarity with OpenAI, Azure OpenAI, Gemini, or other AI platforms.
- Experience with REST APIs and application integration.
- Knowledge of vector databases such as Pinecone, ChromaDB, or FAISS.
- Strong analytical and problem-solving skills.

Preferred Skills
- Technology->AI-Data science->Machine Learning
- Technology->AI-Generative AI->Conversational AI Platform
- Technology->AI-Generative AI->Generative AI - Basic->model framework (langchain)
- Technology->AI-Generative AI->Generative AI for Data Analytics

📌 GenAI Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru