Principal AI Engineer
Core
Design, develop, and deliver scalable, secure, high-performance software and AI solutions, specifically integrating Large Language Models (LLMs) for financial use cases.
Role type
Principal AI Engineer (Manager level)
Builds
Production LLM applications, AI infrastructure, and complex software platforms for financial markets.
Domain
Financial markets infrastructure and data
Deliverable
production ML models | product features | infrastructure
Required skills
Java, Python, distributed systems architecture, microservices, API design, event-driven patterns, prompt engineering, LLM fine-tuning, RAG, vector databases, CI/CD, containerization, Kubernetes, infrastructure-as-code, observability, secure SDLC
Preferred skills
AI infrastructure optimization, model evaluation harnesses, automated prompt regression, cost optimization for AI workloads, open-source contributions
Technologies
Java, Python, Langfuse, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Design and implement complex services and platforms; Integrate, optimize, and evaluate LLMs with RAG and Agentic AI; Lead model selection, fine-tuning, and deployment strategies; Champion observability and AI Ops; Mentor senior engineers and lead architectural decisions; Prototype and assess new AI/ML approaches for production adoption
Seniority
Manager, hands-on IC with strategic leadership