AI Engineer

Overview The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges.

The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI.Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands-on leadership, while mentoring teams and influencing best practices across programs.

The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys’ global delivery ecosystem.

Job Description In the assigned

Job Role of Specialist Programmer, your Area Of Responsibility will be as below:
Analyze user stories and use cases to ensure accurate understanding for production-ready delivery. Contribute to define design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects. Deliver high-quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation. Support the team to foster a robust technical environment and ensure error-free coding.

Participation in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process. Assist in deploying solutions for future projects exploring new technologies through initial prototypes. Facilitate adoption of emerging technologies through POC initiatives aligned to business needs. Support in implementation of technical services to meet quality service (QoS) requirements Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.

Interface with customers during warranty support to ensure issues are fixed in a timely manner. Address technical issues during testing to ensure a reliable, production-ready codebase. Assist in mitigating risks by flagging them and support timely resolution in co-ordination with the team. Fix issues during testing phases to ensure error-free, clean releases. Your contribution to the team:

A knack of designing and developing scalable, high-quality and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. Strong problem solving mindset to debug complex technical issues and deliver error-free and reliable outcomes.

Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.

Required Skill and Experience Experience in developing and applying Agentic AI, Agent orchestration, Context Harness.

Strong understanding of Lang Graph, Lang Chain, machine learning fundamentals, and natural language processing (NLP) Proficiency in programming languages like Python, Rust and familiarity with deep learning frameworks like Tensor Flow or PyTorch.

Design, develop, and deploy generative AI models for various applications, solving business challenges, and code synthesis (depending on the specific focus of the company).Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals.

Manage the entire AI development lifecycle, from data pre-processing, pipeline and model training to evaluation, optimization, and deployment.

Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly.

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