Senior AI Engineer: LLM & Agentic Systems (Remote)

Infosys Limited; Mason (OH); On-site; USD 66,000 - 102,000; Full time

Benefits offered by this job

Disability insurance

Health & dependent care reimbursement

401(k) plan

Company benefits

Job summary

Infosys Limited, a global leader in digital services, is hiring an AI engineer to design and build production-grade LLM-powered applications and agentic systems in a remote-friendly US role. You will own end-to-end development from architecture to deployment, leveraging Python, LLM frameworks, and scalable design.

Responsibilities include building RAG-enabled pipelines, integrating tools and APIs, and ensuring reliability while collaborating with cross-functional teams.

Qualifications

• Design and develop production-grade LLM-powered applications.
• Experience with prompt engineering and orchestration for AI systems.
• Proven ability to build end-to-end AI solutions using modern frameworks.

Responsibilities

• Document business requirements and guide technical design decisions.
• Contribute to software design discussions and code implementation.
• Develop and integrate features; maintain code quality and stability.
• Create test strategies, analyze results, and coordinate bug fixes.
• Develop user training and support materials for new software.
• Resolve production issues and implement preventive reliability measures.
• Document code, tests, and support activities for knowledge sharing.

Skills

Python

LLMs / AI

RAG embeddings

LangChain APIs

Cloud architectures

System design

Education

Bachelor’s degree

Tools

LangChain

LangGraph

AutoGen

Vector databases

Job description

Infosys Limited, a global leader in digital services, is hiring an AI engineer to design and build production-grade LLM-powered applications and agentic systems in a remote-friendly US role. You will own end-to-end development from architecture to deployment, leveraging Python, LLM frameworks, and scalable design.

Responsibilities include building RAG-enabled pipelines, integrating tools and APIs, and ensuring reliability while collaborating with cross-functional teams.