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 • Software
Own the full sales cycle for net-new SMB accounts in Canada, from prospecting through negotiation and close. Build relationships with CPA, audit, advisory, and assurance firms; conduct discovery; present Fieldguide’s AI audit platform; develop territory and account plans; apply MEDDICC; maintain CRM accuracy and forecasts; collaborate cross-functionally; and attend networking events. The role requires achieving sales targets and involves up to 30% regional and national travel.
Top Skills:
AICRM
Artificial Intelligence • Productivity • Software • Automation
Own marketing FP&A, including headcount planning, budgeting, actuals tracking, channel allocation, ROI reporting, purchase orders, and vendor commitments. Partner with marketing, sales, RevOps, data, and corporate finance to connect marketing spend with pipeline and revenue outcomes. Lead pipeline forecasting, reporting definitions, risk identification, and AI-enabled automation of finance processes and forecasting cycles.
Top Skills:
Ai ToolsDatabricksGoogle SheetsHubspotNetSuiteSnowflakeZip
Fintech • Financial Services
Sets the technical vision for data science, leads complex credit risk, pricing, and loss forecasting models from conception through production, and architects scalable machine learning pipelines. Partners with senior stakeholders to shape strategy, establishes modeling and validation standards, mentors technical staff, and communicates recommendations to executives. The role requires deep fintech lending experience, advanced statistical and machine learning expertise, and hands-on production model deployment.
Top Skills:
Amazon SagemakerArizeAWSDatabricksGitMetaflowPythonSnowflakeSQLTaktileTecton
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
