[Hiring] Product Engineer @hireVouch

Role Description

Our client is a well-financed, seed-stage startup building a platform of agents that automate financial crime investigations and compliance workflows. The company operates with remote teams distributed across the United States and is establishing a workspace in San Francisco. They have raised $6.2M and grew to $1M in ARR in under one year, with marquee clients including Kraken (US), Koho (Canada), and Viva (EU).

Their product enables customers to invoke agents that automate:

• AML
• Sanctions screening
• Adverse media monitoring
• KYC
• Transaction screening and monitoring

The solution combats revenue losses from high-friction customer onboarding and rising compliance costs, allowing businesses to scale revenues without compliance tradeoffs. The engineering team deploys daily.

The company is led by an experienced founder with a history of raising over $100M and growing their last venture to a $1.5B valuation. As of November 2025, there are no direct competitors in its space.

Qualifications

• 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 familiarity with at least one major cloud provider
• Bias to action and adherence to the getting things done (GTD) engineering methodology
• Experience building production services/APIs in Python
• Fantastic command of English

Requirements

• Design and implement event-driven, real-time, highly concurrent systems leveraging advanced concurrency patterns, asynchronous messaging, and performance optimizations
• 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

Tech stack

• Back-end: Python (FastAPI), Go
• Front-end: React/Next.js
• Database: Cloud SQL, BigQuery, AlloyDB, GCS
• Infrastructure: GCP, Azure
• ML & AI services: OpenAI
• Containers: Kubernetes/GKE

Benefits

• Competitive salary: $200,000 - $250,000 + equity
• Remote work flexibility

It’s a bonus if

• You have experience scaling a fast-growing AI and/or B2B SaaS venture
• You have financial compliance domain experience
• You have experience shipping LLM-enabled products/features to production