Senior AI Engineer: End-to-End LLM & Agentic Systems

Infosys Limited

Northern (KY)

Hybrid

USD 73,000 - 102,000

Full time

8 days ago

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Benefits offered by this job

Disability insurance
Health reimbursement accounts
Insurance (Accident, Critical Illness,
401(k) plan

Job summary

Infosys Limited is seeking a Technology Consultant 2 to design and build production-grade LLM-powered applications and agentic systems using Python and modern frameworks. You will own end-to-end development from architecture to deployment, including RAG pipelines, embeddings, vector databases and API integration.

The role emphasizes design, testing, and collaboration with cross-functional teams to deliver scalable cloud-based solutions while ensuring reliability and performance.

Qualifications

  • Bachelor’s degree or foreign equival en t required, with or without progressive experience in the specialty.
  • End-to-end SDLC experience from requirements to implementation.
  • Experience building production-grade backend systems with Python.
  • Experience developing LLM-powered applications and prompt engineering.

Responsibilities

  • Document assigned parts of business requirements and guide design discussions.
  • Participate in coding and integrate updates into existing applications while maintaining stability.
  • Conduct code reviews and manage code repositories.
  • Implement test strategies and coordinate bug fixes to uphold quality.
  • Develop user training, documentation and support frameworks for new software.
  • Resolve production issues and suggest preventive strategies to improve reliability.

Skills

Python
LLM frameworks
Agentic workflows
API integration
Cross-functional collaboration

Education

Bachelor’s degree or foreign equivalent

Tools

LangChain
LangGraph
AutoGen

Job description

Infosys Limited is seeking a Technology Consultant 2 to design and build production-grade LLM-powered applications and agentic systems using Python and modern frameworks. You will own end-to-end development from architecture to deployment, including RAG pipelines, embeddings, vector databases and API integration.

The role emphasizes design, testing, and collaboration with cross-functional teams to deliver scalable cloud-based solutions while ensuring reliability and performance.

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