AI Engineer
Job Description
Infosys is hiring an AI Engineer in San Ramon, CA (onsite) to design and develop scalable, high-quality, optimized solutions and deliver production-ready code. The role includes building and refining implementation through debugging, prototypes/POCs, testing support, and knowledge transfer.
Key Responsibilities
- Analyze user stories and use cases to ensure accurate understanding for production-ready delivery.
- Contribute to defining design specifications and technology frameworks, and assist in creating reusable assets that improve productivity for complex technology projects.
- Deliver high-quality, optimized, and efficient code across applications and databases, including engaging in debugging complex routines and building automation.
- Support the team in maintaining a robust technical environment and ensuring error-free coding.
- Participate in knowledge transfer sessions and assist with reverse engineering methodologies to support transition activities.
- Assist in deploying solutions for future projects by developing initial prototypes.
- Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
- Support implementation of technical services to meet quality of service (QoS) requirements.
- Contribute to development of reusable assets with a focus on productivity improvement and resolving critical production issues.
- Interface with customers during warranty support to ensure issues are fixed in a timely manner.
- Address technical issues during testing to maintain a reliable, production-ready codebase.
- Help mitigate risks by identifying them and supporting timely resolution in coordination with the team.
- Fix issues during testing phases to ensure clean, error-free releases.
Your Contribution to the Team
- A capacity for designing and developing scalable, high-quality, optimized solutions that address complex business needs.
- The ability to evaluate and adopt emerging technologies, turning them into practical prototypes and deployment-ready approaches.
- Skills to build reusable frameworks, automation scripts, and knowledge assets that increase team productivity.
- A strong problem-solving mindset for debugging complex technical issues and delivering reliable outcomes with fewer errors.
- Commitment to quality, performance, and risk management to support resilient and efficient delivery.
- Proactive collaboration with internal teams and clients to drive knowledge sharing, continuous improvement, and innovation.
Location and Compensation
- Location: San Ramon, CA (onsite)
- Compensation: USD 86,000 - 130,000 per year