AI Developer: Build LLM-Driven Financial Apps

Infosys Limited; Charlotte (NC); On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Long-term disability

Health & dependent care accounts

Insurance coverage

401(k) plan

Job summary

Infosys is hiring a Technology Consultant 2 in Charlotte to contribute across the full software development lifecycle, from requirements to deployment. You will document requirements, design discussions, implement features, review code, and help ensure software quality while maintaining system reliability.

The role emphasizes hands-on coding in Python with LLM integration and collaboration with cross-functional teams, with opportunities to work on AI-powered financial services solutions.

Qualifications

• Bachelor’s degree or foreign equivalent required; on-site US work eligibility noted.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.

Responsibilities

• Contribute to requirements elicitation by documenting assigned parts of business requirements.
• Facilitate software design discussions and document design decisions for the team.
• Participate in coding and integrate features with focus on stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes.
• Develop user training materials, documentation, and support frameworks.
• Resolve production issues and propose preventive reliability strategies.
• Maintain records of code, testing techniques, and support activities for knowledge base.

Skills

AI agent frameworks

Python with LLM integration

Java

BFS domain knowledge

RAG

APIs & microservices

Streaming data

Responsible AI concepts

Education

Bachelor’s degree or foreign equivalent

Job description

Infosys is hiring a Technology Consultant 2 in Charlotte to contribute across the full software development lifecycle, from requirements to deployment. You will document requirements, design discussions, implement features, review code, and help ensure software quality while maintaining system reliability.

The role emphasizes hands-on coding in Python with LLM integration and collaboration with cross-functional teams, with opportunities to work on AI-powered financial services solutions.