ML Engineering Lead (AI)

Location: Hybrid in Toronto or San Francisco

Company

Applied AI startup building agentic automation systems for real-world workflows in the banking industry, with production deployments and revenue-generating customers.

What you will do

• Own the ML/AI function end to end and define technical direction and engineering standards.
• Architect and guide multimodal, agentic AI systems for real-world banking workflows.
• Define evaluation frameworks, datasets, and performance metrics to improve agent quality.
• Drive productionization with a focus on reliability, scalability, monitoring, iteration, and compliance.
• Build and mentor a high-performing ML engineering team.

Requirements

• 8+ years of experience in ML/AI engineering, including technical leadership or management experience.
• Track record of leading ML initiatives from problem definition through production deployment.
• Deep experience with LLMs or agentic systems in real-world, customer-facing applications.
• Strong understanding of deep learning, transformers, model evaluation, and engineering tradeoffs.
• Experience scaling production ML systems and influencing architecture decisions.
• Strong communication skills and comfort working in an early-stage, ambiguous environment.

Nice to have

• Experience building agentic systems, orchestration layers, or long-context reasoning systems.
• Ability to work across data, modeling, infrastructure, and APIs.
• Experience with open-source and closed LLMs, fine-tuning, or retrieval-augmented generation.
• Strong product mindset focused on real-world impact.

Culture & Benefits

• Work on ambiguous technical challenges without established answers.
• Competitive compensation with premium benefits and equity.
• Collaborate with engineers, builders, leaders, and repeat founders.
• Join a company with live production agents and revenue-generating customers.
• Work on applied AI for the banking industry.