We’re a team of experienced generalist SWEs and AI enthusiasts who are building custom AI agents for enterprise clients. No AI experience required: we are actively trying to be the best place in the world to learn applied AI.
I’m Frank, an engineer here. This is the first services-style company I’ve worked at, so for those of you in a similar boat, this is what I’ve really liked so far:
* The learning rate is super fast. 3-4 client projects a year, each with different tech stacks, products, industries, and architectures. Lots of learning resources including a full AI engineering bootcamp when you onboard.
* Our projects are typically high priority and sponsored by prominent executives. The path here for projects to have real impact on usage or bottom line is much shorter.
* We’re “selling pickaxes during the gold rush”. When AI finds its next killer app, we’ll be the first to know about it.
We’re hiring staff+ SWEs onsite with offices in San Francisco, New York, Durham NC, and Dubai. Feel free to reach out to me directly (frank@fractional.ai) or take a look at the full job posting:
https://jobs.ashbyhq.com/fractional-ai/1db16198-e91e-425d-83...
Fractional AI operates at the forefront of applied AI, and we measure our success by the business outcomes we deliver in production — not by checking boxes on a SOW. We build production-grade AI systems that optimize core operations, automate internal workflows, and improve customer experiences. Every system is designed explicitly against clear business goals and North Star metrics (revenue growth, cost take-out or avoidance, churn reduction, etc.). Our role is to enable our customers to get past POCs and experiments into robust, real-world systems that reliably create value.
See all open positions here: https://jobs.ashbyhq.com/fractional-ai
We're building an AI platform for credit unions. A variety of tools (third party integrations + RAG) backed by multiple LLM options, including OLMo, running in our own AWS infrastructure. We're a small team (I'm CTO and our first technical hire) so you'd have real ownership over the AI stack and architecture.
You'd work on retrieval over heterogeneous corpora with citations, agent orchestration and tool calling, model serving infra, and third party API integration. There's a lot of room to experiment with hierarchical retrieval, heavier upfront document processing, and custom agent tooling. Over time we're going to expand into fine tuning, more direct compute management, and some interpretability work.
Stack: Python/FastAPI, React, PostgreSQL/pgvector, AWS/OpenTofu. Looking for someone with a few years of experience building production systems.
Email me at talati@getcultivate.ai if you're interested!