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.
  
• This position is located in Austin, TX / Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA or is willing to relocate.
  
• 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
  

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.

Estimated annual compensation range for candidates in the below locations will be-
Bridgewater, NJ: $56000 to $85400

Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:-
Medical/Dental/Vision/Life Insurance
Long-term/Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
401(k) plan and contributions dependent on salary level
Paid holidays plus Paid Time Off.