Senior Product Engineer, Anti-Money Laundering (AML) (Copy)
About The Position
Our client is a well-financed, seed-stage startup building a platform of agents that automate financial crime investigations and compliance workflows. The company is a Delaware corporation that currently operates with remote teams distributed across the United States and Canada. They are a hard-charging startup that has raised $6.2M, grew to $1M in ARR in under one year, and has marquee clients around the globe including Kraken (US), Koho (Canada), and Viva (EU). Their product enables customers to invoke (or “hire”) agents that automate AML, sanctions screening, adverse media monitoring, KYC, and transaction screening and monitoring. The solution combats revenue losses that result from high-friction customer onboarding and the rising costs of compliance missteps, and allows growing businesses to scale revenues rapidly without making compliance tradeoffs. The product is not versioned for customers, and the engineering team deploys daily. The company is led by an experienced founder who has raised more than $100M to date and has grown their last venture to a $1.5B valuation. Both the founder and CTO have led fintechs that required large compliance teams and have had outlier experience in the domain. As of November 2025, the company does not yet have any direct competitors in its space.
Requirements
- Comfortable across the stack with deep architectural experience in large-scale distributed systems and data management
- Strong product mindset and comfortable working iteratively with fuzzy requirements
- Experience scaling backend infrastructure and very comfortable with at least one major cloud provider
- Bias to action and subscribe to the gettings things done (GTD) engineering methodology
- Experience building production services/APIs in Python
- Fantastic command of English
Nice To Haves
- Experience scaling a fast-growing AI and/or B2B SaaS venture
- Financial compliance domain experience
- Experience shipping LLM-enabled products/features to production
Responsibilities
- Design and implement event‑driven, real‑time, highly concurrent systems leveraging advanced concurrency patterns, asynchronous messaging, and performance optimizations to ensure low‑latency, high‑throughput and fault‑tolerance
- Collaborate on cloud‑native architecture, infrastructure as code, CI/CD pipelines, autoscaling and load‑balancing strategies, security best practices, and observability efforts
- Integrate LLMs and other emerging AI technologies, select and potentially fine‑tune models, orchestrate deployments, and monitor performance
- Guide architecture and design decisions, conduct code reviews, establish best practices, and coach team members to accelerate their technical growth while reinforcing a culture of continuous improvement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
