Senior Product Engineer
4 weeks ago
Get AI-powered advice on this job and more exclusive features. Were looking for a hungry, worldclass product-focused engineer to join us at Axle. Were building AI Digital Workers for financial compliance teams. Compliance teams inside banks and fintechs are buried in manual investigations. They hire huge teams to manage the work, and customers wait days or even weeks for their onboarding or transactions to get reviewed. Weve spent the past year proving that AI can fix that. Weve raised $6.2M in seed funding and are scaling from 8 15 teammates over the next couple of months. Youd be joining right before liftoff. As an early engineer, youll have massive ownership over the product, from architecture and performance to what we build next. Youll be shaping the foundation of a platform that will redefine how compliance work gets done. Youll ship directly to production, work sidebyside with the founders, and see your code in use at companies like Koho, Viva, Tipalti, Riseworks, Coinlist, and Xendit. We move fast, and we expect the same from you youll be shipping from day one. Our engineering team is already stacked with exfounders and founding engineers. Now were looking for another toptier builder who wants to help us scale a categorydefining product that will power the next generation of financial infrastructure. We're backed by Diagram Ventures, Mistral Ventures, and Uphonest Capital. Key Responsibilities Lead the architecture and development of our suite of AI agents. Develop the infrastructure necessary for integrating and utilizing Large Language Models (LLMs). Develop and manage data platforms with largescale time series data. Create tools for internal use that assess agent performance and support automated evaluations. Design and implement Python services, including APIs and webhooks, to manage agents, orchestrate operations, perform benchmarks, and integrate with external systems. Write clear documentation for code, systems, and processes. Support GCP infrastructure, deployment strategies, and CI/CD pipelines. Ensure performance, scalability, and efficiency of the application and database. Key Qualifications Hungry to be an early engineer at a highgrowth startup and is willing to grind. Deep architectural experience in largescale distributed systems and data management. Strong sense of responsibility and ownership with a bias for solving problems and shipping impactful features into production that are well tested (unit & endtoend). Ability to work from vague requirements and crystalize them for our product. A deepstated curiosity and passion for technology, with a fastpaced learning capability. Prior experience is valued but not as crucial as the enthusiasm to learn and adapt. Strong commitment to customer care, maintaining consistent, responsive communication, and an enjoyment in engaging with customers. Listen, understand, and address customer needs. Exceptional problemsolving and analytical skills, with a knack for tackling complex challenges. Proven ability to operate independently as well as part of a team, showcasing strong collaborative skills. What we offer Opportunity to be an early member of a highgrowth startup with a significant impact on the companys success Extremely competitive salary and equity package Seniority level MidSenior level Employment type Fulltime Job function Engineering and Information Technology Referrals increase your chances of interviewing at Axle Automation by 2x #J-18808-Ljbffr
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Senior Machine Learning Engineer
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