Design and implement high-performance, low-latency software systems, lead technical architecture discussions, and mentor team members while integrating AI technologies and ensuring scalable backend infrastructure.
Your opportunity
Key responsibilities
Tech stack
Your know-how
It’s a bonus if
Compensation
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.
- 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
- 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
- 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
- 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
The base pay range for this role is CA$150,000 – CA$200,000 per year.
Similar Jobs
Artificial Intelligence • Fintech • Professional Services • Software
Design and implement scalable systems for financial compliance, oversee architecture, integrate AI technologies, and mentor team members.
Top Skills:
AlloydbAzureBigQueryCloud SqlFastapiGCPGcsGkeGoKubernetesNext.JsOpenaiPythonReact
Artificial Intelligence • Productivity • Software • Automation
The Automation Strategist will guide customers in automating processes, help identify use cases, and promote AI-enabled transformation, focusing on value delivery and relationship building.
Top Skills:
AIAutomation
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Technical Engineer is responsible for remote support and maintenance of PACS and Cloud-based products, ensuring customer satisfaction through timely issue resolution and communication. Duties include diagnosing technical problems, conducting inspections, generating reports, and performing installations and upgrades.
Top Skills:
Cloud StorageDicomDlt TapeGitlabGoogle Transfer AppliancesJIRALinuxMs SqlPacsSan StorageSql PlusUnixVMware
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
