AI Engineer

Infosys•Quincy, MA

About The Position

As an AI Engineer in the assigned job role of Technology Consultant 2, you will contribute to software development activities across the software development life cycle, from requirements elicitation through implementation and support. The role involves documenting business requirements, facilitating application design discussions, coding and integrating features, reviewing and maintaining code, implementing testing strategies, coordinating bug fixes, and supporting production systems. You will also create user training and documentation and maintain records of code, testing, and support activities. The position is part of Infosys Financial Services, a unit that works with financial institutions on digital transformation using AI, cloud, and data-led innovation. Projects may span banking, wealth management, and insurance. The required technical focus includes generative AI engineering, hands-on GenAI, LangGraph, LangChain, agent development and production deployment, Python, and GenAI data analytics. Preferred areas include agentic AI, model integration, production deployment, AI security, and observability. A bachelor's degree or foreign equivalent from an accredited institution is required; three years of progressive experience in the specialty may be considered in lieu of each year of education. The position may require relocation and/or travel to a work or project location. Infosys cannot provide immigration sponsorship for this role; applicants must be authorized to work in the United States for any employer without employer-based visa sponsorship.

Requirements

Generative AI engineering experience, including hands-on GenAI.
Experience with LangGraph and LangChain.
Experience building agents and deploying them to production.
Experience with Python.
Experience in GenAI data analytics.
Bachelor's degree or foreign equivalent from an accredited institution, or three years of progressive specialty experience in lieu of each year of education.
Authorization to work in the United States for any employer without employer-based visa sponsorship.

Nice To Haves

Experience with agentic AI.
Experience with model integration.
Experience in production deployment.
Experience with AI security and observability.
Collaborative spirit and excellent communication skills.
Ability to handle end-to-end software development life-cycle phases, from requirements gathering to implementation.
Ability to translate complex requirements into actionable development tasks.
Passion for design and hands-on coding experience.
Proactive approach to testing, troubleshooting, and refining applications.

Responsibilities

Contribute to requirements elicitation by documenting assigned portions of business requirements in line with guidance.
Facilitate software application design discussions and document design decisions for the technical team.
Participate in coding and integrate new features or updates into existing applications while maintaining system stability.
Conduct code reviews, make changes to the codebase, and maintain code repositories.
Implement test strategies, analyze results, and coordinate bug fixes to uphold software quality standards.
Develop user training programs, documentation, and support frameworks to help users transition to new software applications.
Help resolve production issues and recommend preventive strategies to improve system reliability.
Maintain detailed records of code, testing techniques, and support activities for the knowledge base and similar projects.
Work with cross-functional teams and contribute to software integration.