Engineering Manager, AI
New
D
DEUNAAI payments
Workplace type: Remote; Listing location: San Francisco / Bogotá, Colombia / Ciudad de México, MexicoFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 8+ years in software engineering, including 2-3+ years in a people management role leading engineers.
- Required Skills
- AWSCI/CDDistributed Systems
Requirements
- Have 8+ years of software engineering experience.
- Have 2-3+ years of experience in a people management role leading engineers.
- Bring significant experience building and shipping backend and/or ML systems at scale.
- Have experience hiring, developing, and retaining engineers while balancing people development with delivery.
- Have hands-on familiarity with modern AI/ML systems, including model training and serving, LLM-powered workflows, or similar.
- Have practical production exposure to LLM-based systems such as agents, RAG, or AI workflow orchestration.
- Be able to guide architecture decisions and review technical approaches across ML systems, backend services, and AI/LLM workflows.
- Communicate clearly and proactively with the team and cross-functional partners in product and operations.
- Be comfortable re-scoping and communicating changing priorities in a fast-moving startup environment.
- Payments, fintech, or another regulated-industry background is a plus, but not required.
Responsibilities
- Manage and grow a team of AI/ML and platform engineers, including hiring, performance development, and career growth.
- Coach engineers through technical design decisions, code and architecture reviews, and hard trade-offs.
- Set team standards for code, testing, and CI/CD practices.
- Scope, cost, sequence, and estimate initiatives, and keep the team accountable to delivery commitments.
- Guide architecture for ML model training, evaluation, monitoring, and retraining, as well as LLM workflows and RAG pipelines.
- Oversee inference services supporting live payment routing and their latency and reliability.
- Ensure AWS infrastructure, CI/CD, and observability practices meet a high bar.
- Apply PCI-DSS and data-handling requirements to systems that touch payment data.
- Translate product vision into a technical roadmap and partner with product, operations, and modeling leadership on priorities.
- Represent the team's progress and blockers to leadership.
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