Founding Engineer

About Fractional AI

Fractional AI builds bespoke gen AI software to transform businesses.

Every C-suite is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).

Fractional AI is building a Dubai office to serve clients in EMEA and Asia.

Joining Fractional AI’s Dubai office as a Founding Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying cutting-edge AI solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.

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.

• You write exceptional code + deeply care about the craft of coding (7+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages

• You are excited about AI: you have some demonstrated interest in AI - Whether you've experimented with Lang Chain, built an LLM-based side project, or simply have become a ChatGPT power user

• You’re comfortable working across the full stack: Engineers at Fractional work across the backend, frontend, data layer, and infrastructure. We don’t expect you to be an expert in all of these on day 1, but you’re willing to jump in and learn quickly

• You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before

• You are ‘start-up ready’: you jump in without instruction, embrace a ‘no job too big, no job too small’ mindset, and want to shape strategy and culture

• You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needs

• You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth

• Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability

• Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support

• Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working

We’re generally tech stack agnostic - we work in our customers’ environments and code bases. A lot, but definitely not all, of our work is in Python or Typescript.

After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with frameworks like AI SDK, Langchain/Langsmith, and various other tools and frameworks (e.g., Open Pipe, Pinecone, Chroma

DB).

• You're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different

• You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.

• You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.

• You’ll have some solo heads down time to continuing jamming on the high priority pieces for that print.

• Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project.

We’re big believers in transparency and know joining a company is a big decision. We’re not the best fit…