Gen AI / Agentic AI Engineer

Job Description

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.

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.

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.