Applied AI Lead

Key Responsibilities

• Identify, prioritize, and own the highest-value AI opportunities across the Coinflow organization, including Compliance, Risk, Support, Finance, GTM, and Product
• Build and ship internal AI tools, copilots, and workflow automations that reduce cycle time, improve quality, and increase team throughput
• Own projects end-to-end from workflow mapping and architecture through implementation, rollout, measurement, and iteration
• Build the core applied AI infrastructure needed to support production use cases, including retrieval pipelines, tool integrations, and internal data access patterns
• Establish strong quality, governance, and safety standards for AI in regulated workflows, including evaluation, human oversight, auditability, and privacy-conscious deployment
• Drive adoption through documentation, training, and close partnership with business teams so systems become part of daily operations

Required Qualifications

• 4+ years of software engineering experience shipping production systems end-to-end
• Hands-on experience building and deploying applied AI systems in production, including workflow automation, retrieval-based systems, and agentic patterns
• Strong fluency with modern AI tooling and tradeoffs, including LLM APIs, prompt design, context management, evaluation, retrieval, and orchestration
• Strong proficiency in TypeScript and modern full-stack development
• Ability to work cross-functionally to map complex workflows, translate ambiguous stakeholder needs into scoped solutions, and execute with clear success metrics
• Strong product sense and operational judgment; you care about ROI, usability, and real adoption, not just technical novelty
• Comfort owning reliability, iteration, and governance in production environments

Preferred Qualifications

• Experience in fintech, payments, compliance, fraud, risk, security, or other high-stakes operational environments
• Experience driving internal AI adoption or enablement, not just shipping standalone tools
• Experience as an early engineering hire, founder, or zero-to-one builder
• Experience with modern data platforms such as Snowflake, dbt, or similar systems that support reliable AI access to operational data

What we offer

• Competitive compensation including base salary, performance bonus, and meaningful ownership
• Opportunity to shape how AI is implemented across a rapidly scaling fintech company
• Direct impact on the company’s highest-priority operational and product initiatives
• Collaborative environment with cross-functional exposure to leadership, product, engineering, and operations