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
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead pillar-level delivery for a large-scale AAA game project by translating priorities into sprint plans, facilitating Scrum/Kanban rituals, managing dependencies and risks, keeping backlogs actionable, supporting cross-pod communication, improving workflows, and reinforcing a collaborative, accountable team culture to ensure milestone-driven production.
Top Skills:
JIRAKanbanScrum
6 Hours Ago
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead and scale asset production pipelines for a large AAA game, managing Associate Producers, vendors, and co-development partners. Define workflows for intake, tracking, review, approval, integration and delivery; ensure visibility across priorities, dependencies, risks and milestones; maintain asset tracking systems (e.g., Jira); coordinate cross-discipline stakeholders; produce delivery reports and support milestone readiness and quality gates.
Top Skills:
JIRA
Big Data • Cloud • Software • Database
The Staff Engineer will lead the Code Gen team to modernize legacy applications using AI-powered tools. Responsibilities include architectural leadership, engineering excellence, and strategic partnerships with various stakeholders.
Top Skills:
AIGenaiLlmsMicrosoft Sql ServerMongoDBMySQLOraclePostgres
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
