Six Figure Work

AI Product Engineer

Brain Co.

Company websitebrain.co (Brain Co., opens in new tab)

Base salary $180K  to $325K

Employer-published annual base salary, USD. Advertised base range in New York City, NY

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  • LocationNew York City, NY
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

Our Mission

Rebuild how the world works, to make institutions work better for the people they serve.

About Brain Co.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

Why Now

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.

About The Role

As an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.

In This Role, You Will:

  • Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.

  • Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.

  • Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.

  • Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.

  • Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.

You will thrive if you:

  • Minimum 2+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zero

  • Experience with front-end and back-end technologies, microservices, and cloud platforms

  • Experience with modern web tooling such as React, Typescript, RESTful APIs, and database management systems

  • Possess a strong foundation in software design principles, data structures, and algorithms

  • Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges

  • Enjoy working collaboratively with cross-functional teams

  • Thrive in fast-paced environments where priorities or deadlines may compete.

  • Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done

  • Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field

Benefits

  • Competitive salary

  • Medical, Dental, and Vision (100% Coverage)

  • Paid Maternity and Paternity Leave

  • 401(k)

  • Daily Lunches

  • Commuter Benefits

  • Unlimited PTO

Why Join Us

  • Ship quickly, iterate constantly and see your work deployed at global scale

  • Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more

  • Accelerate your career with ownership based on impact, not tenure

  • Earn competitive compensation + meaningful equity in a high-growth company

  • Thrive in a culture built on speed, curiosity, and impact

Compensation

We pay competitively for every role and back that with meaningful equity, because we want the people building Brain Co. to genuinely share in what we build together. Beyond salary and equity, we invest in country-specific benefits because we want our team to feel taken care of, not only compensated.
The annual base salary range for this role is $180,000 - $325,000. We publish this range for every role, as a matter of policy regardless of whether local law requires it. Actual pay will depend on skills, scope, and experience.

If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.

Source: Brain Co. on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($180,000) is above 54% of the 960 Software Engineering roles in New York listed on this site; 57 others list the same floor. Their median floor is $175,000; the middle half runs from $145,000 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Brain Co. roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Brain Co. roles with the nearest advertised base floor
RolePublished base
AI Product Engineer (this listing)$180K - $325K
AI Product Engineer$180K - $325K
Software Engineer, AI Platform (Backend)$180K - $325K
AI Platform Engineer, Infrastructure$180K - $325K
AI Platform Engineer, Developer Productivity$180K - $325K
Product Manager, Financial Services$175K - $290K
Product Manager$175K - $290K

Same $100K to $400K scale as every card. All Brain Co. roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-06-13
Where this pay comes from

Location as the employer wrote it: New York City, NY

The annual base salary range for this role is $180,000 - $325,000. We publish this range for every role, as a matter of polic

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.