Agentic AI Engineer
Infosys
We are seeking a talented and enthusiastic Generative AI Engineer to join our growing AI practice. The ideal candidate should have hands-on experience in developing Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Python. Exposure to cloud platforms such as AWS, Azure, or GCP is essential. This role involves building AI-powered applications, intelligent assistants, chatbots, and enterprise knowledge solutions utilizing modern GenAI frameworks and cloud-native technologies.
- Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
- Build and maintain Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
- Develop AI-powered chatbots, virtual assistants, document intelligence, and knowledge search solutions.
- Create scalable backend services and APIs using Python.
- Integrate LLMs with enterprise applications, databases, and external APIs.
- Work with vector databases for semantic search and document retrieval.
- Deploy AI solutions on AWS, Azure, or GCP cloud platforms.
- Optimize prompts, embeddings, and retrieval mechanisms for improved performance.
- Collaborate with Data Scientists, ML Engineers, and Cloud Engineers to deliver production-ready AI solutions.
- Implement monitoring, evaluation, and governance for GenAI applications.
5 years of experience in Python development, AI/ML, NLP, or Generative AI projects.
- Strong problem-solving and analytical skills.
- Passion for Generative AI and emerging technologies.
- Excellent communication and collaboration abilities.
- Ability to work effectively in Agile environments.
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