Careers - Principal Engineer, AI Systems

Block

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$319,000–$478,600 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $399k
$145k most similar roles pay here $514k

This role pays more than 99% of similar roles. Most pay $181,125–$246,150 — the shaded band above. At the midpoint, this role pays about $399k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 221 open roles on FindRole.

Listed pay typically runs $189,000–$283,600 across 56 roles with salary data.

Most-posted roles

View all roles at Block

At a glance

TL;DR · Careers - Principal Engineer, AI Systems

As a Principal Engineer at Block, you will join a world-class team of AI experts to design and deliver autonomous agents and agentic workflows that operate across Square, Cash App, and the broader ecosystem. Your daily responsibilities include architecting end-to-end solutions for real business value, integrating frontier LLMs into agent architectures, and optimizing model performance through fine-tuning and prompt engineering. You will also mentor engineers, collaborate with stakeholders to translate business objectives into technical deliverables, and foster a culture of excellence and rapid learning. The ideal candidate has over 15 years of experience in software engineering or machine learning, deep expertise in building autonomous agents at scale, and fluency in agentic system primitives such as context management and multi-step reasoning. Experience with model optimization techniques like fine-tuning and RLHF is a plus, as is familiarity with the challenges of agent evaluation and safety in production contexts.

What you'll do

  • Ship and own end-to-end delivery of autonomous agents that deliver real business value.
  • Design agent orchestration systems for planning, tool use, memory, evaluation at scale.
  • Integrate and optimize frontier LLMs into agent architectures with strategic model selection.
  • Lead detailed technical planning by breaking down objectives into concrete tasks.
  • Provide mentorship to engineers through code review, pairing, and knowledge sharing.
  • Evaluate emerging AI capabilities to make pragmatic tradeoffs for performance and cost.

What we're looking for

  • 15+ years of experience in software engineering or machine learning with a focus on autonomous agents.
  • Deep hands-on experience building and optimizing LLMs for production environments.
  • Proven track record of scaling AI-powered products from concept to market in fast-paced settings.
  • Strong technical leadership skills, including shaping direction and elevating team capabilities.
  • Fluency in core agentic system primitives such as context management, planning, and evaluation.
  • Excellent collaboration and communication abilities across engineering, product, and design teams.

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