Infosys is seeking a Junior Gen AI / Agentic AI Engineer to support the development of next-generation AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This is a hands-on engineering role who is eager to learn, build, and contribute to real-world Gen AI solutions in a collaborative environment.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience).
• Minimum 2 years of experience in software development including a minimum of 1 year of hands-on experience in GenAI / Agentic AI and data science with machine learning.
• Strong Proficiency in Python and familiarity with libraries such as Hugging Face Transformers, LangChain, or PyTorch.
• Strong understanding of LLMs, embeddings, and vector search concepts.
• Hands On Experience with REST APIs and tools like FastAPI or Flask.
• Willingness to learn and work with Gen AI tools, frameworks, and cloud services.
  This position is based out of Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA / Palm Beach , FL and may require to travel.

PREFERRED SKILLS

• Exposure to Gen AI platforms (OpenAI, Cohere, Anthropic, Mistral, etc.).
• Experience with version control (Git), Jupyter notebooks, and collaborative development tools.
• Understanding of basic ML concepts (classification, regression, evaluation metrics).
• Exposure to agentic workflows, autonomous agents, or multimodal AI systems.
• Familiarity with Docker, cloud environments, or CI/CD pipelines is a plus.
  The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
  Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.

• Assist in building and deploying Gen AI applications using frameworks like LangChain, LangGraph, or AutoGen.
• Support the development of RAG pipelines and integration with vector databases (e.g., FAISS, Pinecone).
• Work with unstructured data (PDFs, HTML, images, audio) and help preprocess it for LLM consumption.
• Contribute to prompt engineering, testing, and optimization for LLM-based applications.
• Collaborate with senior engineers and data scientists to fine-tune and evaluate LLMs.
• Help integrate Gen AI services from cloud platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
• Participate in code reviews, documentation, and Agile development processes.