Principal Engineer, AI Systems

Block Block · Fintech · CA · Remote · 10409 Engineering - AIDA

Principal Engineer to build and ship autonomous agents and agentic workflows across Block's ecosystem, focusing on production delivery, agent orchestration, LLM integration, and optimization. Requires significant technical leadership and experience in bringing AI-powered products to scale.

What you'd actually do

  1. 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
  2. Design agent orchestration systems including planning, tool use, memory, evaluation, and multi-agent coordination at production scale
  3. Integrate and optimize frontier LLMs into agent architectures, making decisions on model selection, fine-tuning, prompt engineering, and context retrieval strategies
  4. Drive deeper model optimization work (fine-tuning, distillation, RLHF) where it unlocks agent capability or efficiency
  5. Lead detailed technical planning by breaking down ambitious objectives into concrete, sequenced tasks with clear ownership and execution paths

Skills

Required

  • 15+ years of experience in software engineering or machine learning
  • recent professional experience building autonomous agents or agentic workflows in production
  • Deep experience building autonomous agents or agentic workflows in production environments
  • 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
  • hands-on experience in prompt engineering
  • retrieval-augmented generation
  • model optimization
  • A track record of taking AI-powered products from zero to scale in fast-paced, product-driven environments
  • Strong software engineering fundamentals
  • ability to write production-quality code
  • make sound architectural decisions
  • Experience providing technical leadership within teams
  • Product-minded engineering approach
  • Excellent collaboration and communication skills
  • build alignment across engineering, product, and design
  • Comfort navigating extreme ambiguity

Nice to have

  • Experience at leading AI organizations with a track record of translating research into production agent systems
  • Background building or scaling agentic products at startups
  • Experience with model fine-tuning, distillation, or RLHF to improve agent performance
  • Familiarity with agent evaluation, safety, and alignment challenges in production contexts

What the JD emphasized

  • 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
  • Comfort navigating extreme ambiguity in a domain that's evolving weekly

Other signals

  • building autonomous agents
  • agentic workflows
  • LLM integration
  • production scale