Block
Principal Engineer, AI Systems
Rol remoto de 10409 Engineering - AIDA con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles27 países aceptados
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Resumen del rol
Principal Engineer, AI Systems
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
You Will
- Ship, architect, build, and own end-to-end delivery of autonomous agents and agentic workflows that deliver real business value for Block, ensuring reliability, safety, and performance at scale
- Design agent orchestration systems including planning, tool use, memory, evaluation, and multi-agent coordination at production scale
- Integrate and optimize frontier LLMs into agent architectures, making decisions on model selection, fine-tuning, prompt engineering, and context retrieval strategies
- Drive deeper model optimization work (fine-tuning, distillation, RLHF) where it unlocks agent capability or efficiency
- Lead detailed technical planning by breaking down ambitious objectives into concrete, sequenced tasks with clear ownership and execution paths
- Provide technical mentorship and guidance to engineers across experience levels, elevating team capabilities through code review, pairing, and knowledge sharing
- Partner closely with technical and non-technical stakeholders to translate business objectives into agent-powered product experiences
- Keep Block at the frontier by continuously evaluating emerging AI capabilities and making pragmatic tradeoffs across model performance, latency, cost, and user experience
- Foster a culture of technical excellence, high-quality delivery, rapid experimentation, and learning within your team and beyond
You Have
- 15+ years of experience in software engineering or machine learning, with recent professional experience building autonomous agents or agentic workflows in production
- Deep experience building autonomous agents or agentic workflows in production environments—not just prototypes or demos
- Fluency in the core primitives of agentic systems: context management, planning, tool use, memory, evaluation, and multi-step reasoning
- Experience bringing frontier LLM capabilities into production products, with hands-on experience in prompt engineering, retrieval-augmented generation, and model optimization
- A track record of taking AI-powered products from zero to scale in fast-paced, product-driven environments, with the judgment that comes from operating in production
- Strong software engineering fundamentals with the ability to write production-quality code and make sound architectural decisions
- Experience providing technical leadership within teams—you've shaped technical direction, driven execution, and elevated others
- Product-minded engineering approach—you think in terms of user outcomes, not just model metrics
- Excellent collaboration and communication skills, with ability to build alignment across engineering, product, and design
- Comfort navigating extreme ambiguity in a domain that's evolving weekly
- Alignment with Block's mission of economic empowerment and using technology to create access and opportunity
Bonus Points For
- Experience at leading AI organizations with a track record of translating research into production agent systems
- Background building or scaling agentic products at startups (including early-stage or pivoting companies)
- Experience with model fine-tuning, distillation, or RLHF to improve agent performance
- Familiarity with agent evaluation, safety, and alignment challenges in production contexts
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