The market for AI services is immense, and Fractional AI is on a path to becoming a dominant player.
Every C-suite in the country is trying to bridge the gap between AI theory and practice, but most companies lack the talent. Fractional AI fills this gap with top-tier engineers and custom AI builds.
Join us and work on genAI projects for leading companies while being part of an SF-based, engineering-first startup.
We're growing fast, with more demand than we can staff, and are building the next multi-billion-dollar professional services business.
Build on the forefront of applied AI
You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.
Solve big, real problems
Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.
Learn with and from the best in person
We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco office means things like team lunches, quick brainstorming, and the right amount of banter.
Preference for just speed or quality
We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.
Predictability is important to you
You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.
Customers aren’t your thing
You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.
Case Study
Airbyte hired Fractional AI to develop an AI-powered connector builder, producing API integrations in minutes, not hours.
Watch DemoCase Study
Fractional AI partnered with Change.org to build an AI-powered content moderation system.
Read MoreCase Study
Fractional personalized the learning experience with a RAG application for Superintelligent.
Read MoreOver “Engineer” the Culture
We’re building the ultimate work environment for great engineers. What do great engineers love most? Working with other great engineers. Our early engineering team is truly incredible and we will never lower the bar. We pick the most exciting projects, avoid maintenance (even when it’s profitable), and we’ll do everything we can to minimize bureaucracy as we scale the team. WWMFBFGE doesn’t have a great ring to it, but it’s currently the north star for the company: What Would Make Fractional Better For Great Engineers?
Overuse AI
Eventually this one might look silly - “Overuse Computers” makes no sense as a company value today. But imagine it in the late 70s and what do you see? We picture a company full of computer power-users dominating their competition for the next 3+ decades. From the outside that company looks terrifying. On the inside it’s a bunch of nerds having fun with computers. We’re building this company. To do this successfully we need to constantly go out of our way to experiment with the latest tools and share what we learn with our teammates. Sometimes gen AI gives you superpowers, and sometimes it fails to be useful. If you aren’t experiencing both on a regular basis, then you aren’t reaching for these tools enough. We need to overdo it a bit to build a culture at the frontier of a technology that’s evolving at lightspeed.
Overdeliver
We succeed on difficult projects where many capable engineers have failed before us. We prioritize excellent code and take pride in deploying solutions that delight our customers. Technically speaking our clients are responsible for maintaining the code we ship, but in reality this distinction hardly matters because so little maintenance is ever required. Our clients will rave about us privately and publicly, during our engagement and long after. Overdelivering is how we’ll build our reputation as the world’s best applied AI engineering team.
We all met as early team members at LiveRamp (NYSE: RAMP) – Travis was CEO, Eddie was an engineering leader, and Chris drove sales. After LiveRamp, we each went on to be serial entrepreneurs - Travis founding Datavant (exit: 2021, $7B merger) and Eddie and Chris founding Wove (exit: 2019).
Over dinner in February 2024, we started talking about this moment in genAI. It's the first hype cycle of our careers that we fully believed in, but we saw enterprises of all sizes struggling to make this technology work for them. It felt like the biggest way to add value was with custom genAI projects, and the only thing standing in the way was the anti-services bias of silicon valley. The more we looked at the opportunity the more we realized how large it was. There are many examples of huge and long-lasting services business (Accenture is worth over $200 billion!), and we saw the path to building the next big one.
We believed – and are now even more convinced – that the most transformational applications of genAI will come from automating complex manual workflows within large enterprises. These transformational automations require top-notch engineering talent and custom builds. Most companies lack said talent.
We launched Fractional AI to bridge this gap: powering AI transformation with custom builds and incredible engineers.
CEO & Co-Founder
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CTO & Co-Founder
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Chairman & Co-Founder
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VP, People & Operations
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Software Engineer
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Software Engineer
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Software Engineer
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Software engineer
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Software Engineer
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Build on the forefront of applied AI -- play a leading role in building and shipping AI applications for our customers.
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