Manager - AI Engineer

Role: AI Engineer

Experience: 6 10 Years

Location: Bengaluru (work from office)

CTC: 20 30 LPA (including 20% variable)

Position Summary

The Client's Information Technology organization is hiring an AI Engineer to help build and deploy enterprise Generative AI (GenAI) and Agentic solutions within our Data Science function. As an individual contributor, you will implement models and GenAI features end to end, from data preparation, prompt engineering, agent/workflow building, testing and performance tuning, working within established engineering patterns and under the guidance of senior engineers.

This is a hands-on, execution-focused role (approximately 90% execution and 10% strategy). You will solve well-defined to moderately complex problems, collaborate closely with the delivery team, and ship reliable AI capabilities that generate value for the business.

Primary Responsibilities

• Implement and deploy GenAI features and models, including data preparation, prompt engineering, agent/workflow building, testing and performance tuning, within established engineering patterns.
• Solve well-defined to moderately complex problems, applying proven tools and techniques and escalating novel or architectural challenges to senior engineers.
• Contribute to GenAI components (LLMs, RAG, agentic workflows, context engineering) and support their integration across data, models and applications.
• Support disciplined evaluation and error analysis of AI outputs to help keep non-deterministic systems predictable and reliable.
• Debug, monitor and tune deployed solutions to meet quality, latency and cost expectations.
• Collaborate day-to-day with fellow AI engineers, AI architects, data scientists, data engineers, data architects, data stewards, developers and QA, working with the team lead and senior engineers and interacting occasionally with product owners.
• Work within established guidelines and processes, take ownership of assigned deliverables, and flag risks and dependencies early.
• Build tools and capabilities that generate value across the business, providing indirect, advisory impact to outcomes.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology or a related field.
• 1 to 3 years of experience in AI/ML, data science or software engineering, with hands-on model development and some production deployment.
• Working expertise with LLMs, RAG, prompt and context engineering, and agentic workflows / frameworks (e.g., LangGraph), grounded in evals and error analysis.
• Familiarity building and deploying solutions on a major cloud platform, preferably Microsoft Azure.
• Solid programming skills (e.g., Python) and good software-engineering practices in coding, testing and integration.
• Strong problem-solving skills and attention to detail, applying established patterns and seeking guidance when needed.
• Collaborative team player with clear communication skills.

Preferred: Microsoft Certified Azure AI Engineer Associate.

Domain Expertise

• Building GenAI features within a business unit or function (Data Science / IT).
• Familiarity with the modern data and AI stack (e.g., Azure AI / OpenAI services, Snowflake).
• Awareness of Responsible AI, security and privacy considerations.

Individual Skills

• Dependable individual contributor who takes ownership of their deliverables.
• Comfortable with bounded, well-defined problems and eager to grow toward greater complexity.
• Clear communicator within a collaborative delivery team.