Senior AI Engineer: Build LLM-Powered Agentic Apps

Infosys Limited

United States

On-site

USD 66,000 - 102,000

Full time

10 days ago

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Benefits offered by this job

Disability insurance
Health reimbursement accounts
Insurance (various)
401(k) plan

Job summary

Infosys Limited is seeking an AI engineer to design and build production-grade LLM-powered applications and agentic systems. You will own end-to-end development from architecture to deployment, leveraging Python, modern LLM frameworks, and scalable system design.

Responsibilities include building end-to-end LLM-powered apps, designing RAG pipelines, and integrating with APIs and cloud platforms. You will evaluate accuracy, latency, and cost while ensuring reliability and performance.

Qualifications

  • Bachelor’s degree or foreign equivalent in a relevant field.
  • Willingness to relocate/travel to work/project location.
  • Infosys requires authorized work status in the United States.

Responsibilities

  • Document business requirements and guide design discussions.
  • Code and integrate features while maintaining system stability.
  • Review code and manage changes in repositories.
  • Implement test strategies and coordinate bug fixes.
  • Develop training, documentation, and user support materials.
  • Resolve production issues and propose preventive measures.
  • Maintain detailed records to enrich the knowledge base.

Skills

Python
LLM frameworks
LangChain
APIs
Cloud platforms

Education

Bachelor’s degree in a relevant field

Tools

LangChain
LangGraph
AutoGen
Embeddings

Job description

Infosys Limited is seeking an AI engineer to design and build production-grade LLM-powered applications and agentic systems. You will own end-to-end development from architecture to deployment, leveraging Python, modern LLM frameworks, and scalable system design.

Responsibilities include building end-to-end LLM-powered apps, designing RAG pipelines, and integrating with APIs and cloud platforms. You will evaluate accuracy, latency, and cost while ensuring reliability and performance.

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