Gen AI / Agentic AI Lead

Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment.

Required Qualifications

• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

• 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems.

• Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, Lang Chain, Py Torch).

• Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).

• Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP).

• Experience with REST API development (FastAPI, Flask) and containerization (Docker).

• Solid understanding of AI governance, model safety, and prompt engineering.

• This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or 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

• Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., Lang Graph, Auto Gen, Crew AI).

• Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.

• Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.

• Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).

• Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.

• Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.

• Evaluate model performance using tools like RAGAS, Deep Eval, and FMeval.

• Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.

• Mentor junior engineers and contribute to code reviews, design discussions, and best practices.

Preferred Qualifications:

• Exposure to agentic workflows and autonomous agents.

• Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).

• Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.

• Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems.

• Experience with multimodal models and perception systems (e.g., vision + language).

The job 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-
Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275

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.