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.
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Key Responsibilities
- 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.
- 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.