Principal AI Engineer · Bengaluru

Principal AI Engineer is a delivery-focused opportunity based in Bengaluru, India.

Job Description   What you'll bring You are an expert AI engineer with deep SAP Business Technology Platform (BTP) knowledge and a track record of delivering AI solutions for enterprise customers. Proficiency in Python  and JavaScript, with experience building and deploying machine learning  models — including for classification, regression, and anomaly detection —  end to end.

Key Responsibilities

• Job Description   What you'll bring You are an expert AI engineer with deep SAP Business Technology Platform (BTP) knowledge and a track record of delivering AI solutions for enterprise customers
• Proficiency in Python  and JavaScript, with experience building and deploying machine learning  models — including for classification, regression, and anomaly detection —  end to end
• Hands-on knowledge of  agentic frameworks, including LangGraph and LangChain, and experience with      Model Context Protocol (MCP), Agent-to-Agent (A2A) architectures, and      multi-agent pipelines
• Design, build, and improve software systems that support the goals of the AI Engineer function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.