Principle Engineer AI
Core
Architect and build enterprise-scale GenAI platforms and agentic AI systems, focusing on reliability, scalability, security, and responsible AI practices.
Role type
Principal Engineer, Generative AI & Agentic Systems
Builds
Enterprise GenAI platforms, agent orchestration frameworks, multi-agent workflows, context engineering, and memory management systems.
Domain
Financial Services / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Python, distributed systems architecture, GenAI/LLM application development, agent orchestration, context engineering, prompt design, memory management, LLM APIs, vector databases
Preferred skills
Google ADK, multi-agent system design, enterprise AI platform design (RAG, evaluation), banking domain knowledge, LLMOps, secure/compliant AI systems
Technologies
Python, GitHub Copilot, Claude Code, Devin, Google ADK, Vector databases, LLM APIs
Responsibilities
Architect enterprise-scale GenAI platforms, lead development of agentic AI systems, define standards and reference architectures, drive adoption of AI-assisted development tools, mentor senior engineers, ensure responsible AI governance, collaborate on high-impact AI solutions.
Seniority
Principal, hands-on IC with strategic influence
