AI Product Engineer

AI in this role

databricks

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

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

How we rate this

AI Product Engineer at Brain Co rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Databricks

Questions you could be asked

What's a project where you used Databricks hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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