Software Engineer, AI Engineer, Machine Learning/ ML Engineer
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About Fractional AIFractional AI builds bespoke gen AI software to transform businesses. Every C‑suite in the country 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). By joining Fractional AI, you’re stepping onto a San Francisco, NYC, and Dubai‑based team working on gen AI projects for top companies from the comfort of an engineering‑first startup.
AboutThe Role
Joining Fractional AI as a Software Engineer, you’ll play a leading role in building and shipping AI applications for our customers—from understanding customer needs to deploying solutions in their environments—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.
What you bring to the table- You write exceptional code and deeply care about the craft of coding (5+ years of experience); you build elegant, production‑ready code and 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 are a ChatGPT power user.
- 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), 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 lifecycle—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—so Fractional becomes 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.
- After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with tools like Lang Chain, Lang Smith, and other frameworks (e.g., Open Pipe, Pinecone, Chroma
DB).
- You’re the tech lead for one of our customer projects—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 (e.g., building out an evals suite). You have a weekly stand‑up 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 stand‑up) to hear about different projects we’re working on; the lunch will turn into a lively debate about Weights and Biases vs. Braintrust capabilities.
- You’ll have some solo heads‑down time to continue jamming on the high‑priority pieces for that two‑week sprint.
- You may join a prospective customer call to share your perspective on what’s technically feasible on that potential project.
- This role will collaborate closely with Eddie, our Co‑Founder and CTO.
- You’ll work very closely with other engineers on the team—the vast majority of our projects have multiple Fractional AI engineers working on them at once.
- You’ll also spend a lot of…
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