Lead AI Engineer

Overview

Lead AI Engineer in the SMBS AI team at SimCorp, taking AI agent solutions from design through production and owning them in production, working under the technical direction of the Director, AI Solutions.

What you'll do

• Build AI agent solutions from technical design through production deployment, following the solution framework and standards defined by the Director, AI Solutions.
• Implement agent logic, prompt engineering, retrieval-augmented generation pipelines, and LLM API integrations.
• Develop and execute testing strategies for agent behaviour, including edge case handling, accuracy validation, and performance testing.
• Deliver production-ready agents within sprint timelines, managing technical complexity and communicating risks proactively.
• Own agents in production, including monitoring, incident response, and iterative improvement.
• Resolve bugs and address agent behaviour issues identified through operator feedback and usage tracking.
• Adapt agents when underlying data sources, operational processes, or platform infrastructure changes require updates.
• Participate in support rotations once multiple agents are live in production.
• Participate in code reviews, both giving and receiving, to maintain code quality and shared technical understanding.
• Support the Director, AI Solutions in evaluating new tools, frameworks, and approaches.
• Mentor AI Engineers on implementation practices, debugging approaches, and production readiness.
• Collaborate with Data Engineers to define data requirements and ensure agent data pipelines are reliable and performant.

What you'll need

• Strong proficiency in Python and modern development tooling.
• Practical experience with LLM APIs, prompt engineering, RAG architectures, and vector databases.
• 5+ years of experience in software engineering with a focus on AI/ML, NLP, or data-intensive applications.
• Experience deploying and maintaining AI/ML models or applications in production environments.
• Ability to work autonomously on complex implementations while aligning with broader solution standards.
• Ability to communicate technical issues and agent behaviour clearly to non-technical operators and stakeholders.

Nice to have

• Experience in financial services or operational environments.

Details

• Location: Noida.
• Global hybrid work policy: 2 days a week from the office, with the other days optionally remote.
• Participate in support rotations once multiple agents are live in production.