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 for someone eager to learn, build, and contribute to real-world Gen AI solutions in a collaborative environment. This position is located in multiple U.S. locations (Austin, TX / Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX / Alpharetta, GA) or is open to relocation.
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.
Required Qualifications
Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience).
Minimum 2 years of software development experience, including at least 1 year 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.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
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.
Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy, childbirth, or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.