Senior Product Engineer, Anti-Money Laundering (AML)

Your opportunity

Key responsibilities

• Software architecture and engineering: 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
• Systems architecture and engineering: Collaborate on cloud‑native architecture, infrastructure as code, CI/CD pipelines, autoscaling and load‑balancing strategies, security best practices, and observability efforts
• AI platform engineering: Integrate LLMs and other emerging AI technologies, select and potentially fine‑tune models, orchestrate deployments, and monitor performance
• Technical leadership and mentoring: 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

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

Your know-how

• You are comfortable across the stack with deep architectural experience in large-scale distributed systems and data management
• You have a strong product mindset and are comfortable working iteratively with fuzzy requirements
• You have experience scaling backend infrastructure and are very comfortable with at least one major cloud provider
• You have a bias to action and subscribe to the gettings things done (GTD) engineering methodology
• You have experience building production services/APIs in Python
• You have a fantastic command of English

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

Compensation