About the TeamThe Agentic AI team designs intelligent, autonomous systems that eliminate financial operations for companies globally. We automate the core financial workflows that businesses rely on-turning slow, manual processes into something real-time, intelligent, and seamless, compressing hours of work into seconds.
The team blends deep research pedigree with proven industry experience. We operate with high standards, are tool-agnostic, and expect engineers to own problems end-to-end. We collaborate closely, push boundaries responsibly, and ship exceptional work quickly. You'll solve unprecedented technical challenges using unique, end-to-end financial datasets no one else in the industry has.
About the RoleAs a Staff AI Engineer, you will design and deploy intelligent systems that automate complex, multi-step financial workflows. You'll leverage agentic frameworks, orchestration layers, and pragmatic model selection to turn ideas into reliable production systems at scale.
Responsibilities- Architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and emerging OSS stacks.
- Apply the right techniques across the AI spectrum - prompting, RAG, fine-tuning, or training from scratch.
- Design and optimize agent architectures for reasoning, tool use, and workflow automation.
- Build systems that improve with usage, creating compounding AI flywheels.
- Work with backend and frontend engineers to integrate AI reasoning into secure, production systems.
Qualifications- 5+ years in applied AI/ML engineering with production deployments.
- Strong Python skills and experience with ML frameworks (PyTorch, JAX, TensorFlow).
- Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems.
- Understanding of monitoring, evaluation, and iteration in production AI systems.
- Ability to balance innovation with reliability, scalability, and compliance.
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