About the company
HubFlow is a well-capitalized early-stage startup transforming the logistics industry by automating freight appointment scheduling for brokers and carriers. Our agentic AI radically improves efficiency and helps to reduce CO2 emissions in the $1T US trucking industry.
In May 2025, we raised a $2.3M pre-seed round led by Bling Capital, with participation from notable industry angels. We have paying customers, an ambitious roadmap, and a clear path to $1M ARR by the end of 2025.
We are a remote-first company and an equal opportunity employer.
About the role
This role is our first hire in the US and comes with the opportunity for meaningful equity ownership. You will build, maintain, and own outcomes for HubFlow’s core production AI systems. You will collaborate closely with HubFlow’s founding team to architect and implement scheduling automation at some of the largest trucking companies in the United States.
Key responsibilities
- Build, deploy, fine-tune, and maintain HubFlow’s AI production systems to support enterprise-grade production use cases with 99%+ uptime and accuracy within 3 months.
- Build and deploy tools to support continuous improvement of Hubflow’s AI production systems through systems, including but not limited to:
- Performance monitoring
- A/B prompt testing
- Development of training datasets to use for model fine-tuning
- RLHF
- Act as a force multiplier for our entire engineering team. This is an individual contributor role, but there will be opportunity to take on leadership responsibilities by:
- Helping our Bulgaria-based FE and BE engineers understand HubFlow’s AI systems and stay up to speed on latest AI developments
- Helping to recruit additional US-based AI engineers
- Co-authoring public-facing work, e.g. thought leadership, blog posts, etc.
- Become one of the top 5 most knowledgeable people in the world on freight appointment scheduling data + processes within 6 months
Qualifications
You should apply for this role if:
- You have 5-10 years of experience working with ML models or natural language processing (i.e., you’ve been working in AI since before it was cool)
- You have cutting edge knowledge in LLM applications (RAG, fine-tuning, data-driven prompt engineering, etc.)
- You have an MS in Computer Science or equivalent
- You’re more comfortable in Python than in English
- You are excited to tackle difficult problems and work hard with a motivated team
Nice to have
- You’re a former founder or have experience wearing many hats / working in a startup environment