Background
Axle is building AI Digital Workers for financial compliance teams. Banks and fintechs run thousands of manual investigations every year — sanctions screening, SAR generation, KYC reviews — and teams are drowning in the backlog. Axle's platform automates those workflows with specialized AI agents, letting compliance teams scale without adding headcount.
The company raised $6.2M in seed funding and was scaling aggressively, adding customers like Kraken, Tipalti, KOHO, and Viva. With strong product-market fit established, the founders needed to grow the engineering team fast — without compromising on the bar.
The Challenge
The role Axle needed to fill wasn't straightforward. They were looking for a Senior Product Engineer who could own AI agent architecture, build LLM infrastructure on GCP, manage large-scale time series data, and ship fast in a high-stakes compliance environment — all while operating as an early team member comfortable working from ambiguous requirements.
That combination is rare. Traditional recruiting channels were surfacing candidates who could do one or two of those things well. Finding someone who brought all of it — plus genuine AI tooling fluency — was taking weeks without a meaningful pipeline.
With a scaling roadmap and paying customers waiting on new capabilities, Axle couldn't afford a three-month search.
"We needed someone who could build AI agent infrastructure and had real opinions about what 'good' looks like in production. That's not a profile you find on a job board."
How RepoScout Helped
Axle came to RepoScout with a precise brief: a senior engineer who built with LLMs daily, had GCP and Python depth, and understood what it meant to ship in regulated industries. Not just someone who had read about AI — someone already working inside it.
Within 48 hours, RepoScout presented three profiles. Each candidate had been vetted not just for technical depth but for AI tooling proficiency — daily Cursor and Claude usage, experience with agent architectures, and the kind of opinionated engineering judgment Axle's culture demanded.
Rather than presenting a long list and walking away, RepoScout provided detailed notes on each candidate's strengths relative to Axle's specific stack and stage — making the evaluation process fast for a founding team that had no time to waste.
The Process
15-minute brief
Axle shared the role requirements, stack, and cultural bar in a single async call. No lengthy intake forms.
48-hour turnaround
Three fully vetted profiles delivered — each with technical notes, AI tooling assessments, and availability.
Streamlined interviews
Axle ran focused technical conversations rather than broad screening loops. Two rounds to a decision.
First PR in 7 days
The hired engineer was shipping to production within the first week, no extended ramp-up required.
Results
Axle hired from RepoScout's first batch of candidates. From initial brief to signed offer took under two weeks — compared to the months-long process they had been navigating through traditional channels.
The engineer joined, oriented quickly to the codebase and the compliance domain, and was submitting meaningful pull requests within seven days. The AI tooling proficiency wasn't a checkbox on the resume — it translated directly into output velocity from day one.
The two most valued outcomes: speed without sacrificing quality, and a candidate who integrated into Axle's technical culture immediately. No ramp-up tax on a team that couldn't afford one.
"RepoScout didn't send us a stack of resumes. They sent us three engineers who could actually do the job — and we hired the first week."
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