GenAI Developer
Infosys
Skills Required
Description
We are looking for a skilled Generative AI Engineer with 3-5 years of overall experience and hands-on expertise in building AI/ML solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI agent frameworks.
Role: Generative AI Engineer
Location: Bangalore
Experience:
- 3-5 years of experience in Software Development, AI/ML, or Data Science
- 3-5 years of overall experience
Responsibilities:
- Design and develop Generative AI solutions using LLMs such as GPT, Llama, Claude, or similar models
- Build and optimize RAG-based applications using vector databases
- Develop AI agents and intelligent automation workflows using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
- Fine-tune, evaluate, and deploy machine learning and Generative AI models
- Create APIs and microservices for AI-driven applications
- Work closely with business and technical stakeholders to understand requirements and deliver AI solutions
- Ensure model performance, scalability, security, and responsible AI practices
Additional responsibilities:
- Experience with fine-tuning LLMs and model evaluation
- Exposure to MLOps tools and CI/CD pipelines
- Knowledge of Docker, Kubernetes, and cloud-native deployments
- Strong problem-solving and communication skills
Nice to have:
- Generative AI for Data Analytics
- AI/ML Solution Architecture and Design
- Conversational AI Platform
- Databricks Machine Learning
More skills:
Python, AWS, GCP, REST APIs, microservices, application deployment, Machine Learning, NLP
Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Functions, Tools and Agents with LangChain
Coursera
Advanced LangChain covering function calling, tool use, and conversational agents.
Introduction to Generative AI
Coursera
Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.
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