Note: The job is a remote job and is open to candidates in USA. DEUNA is a rapidly growing startup building ATHIA, an AI-powered orchestration and payments platform for global commerce. The Engineering Manager will lead the AI/ML engineering team, oversee technical architecture and delivery, and manage engineers working across machine learning, backend, platform, and payment systems. The role also involves cross-functional roadmap development, team growth, and ensuring reliable, secure, and scalable infrastructure.
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 the engineering bar for the team: code standards, testing strategy, and CI/CD practices
- Drive accurate costing and delivery estimates for initiatives, and keep the team accountable to commitments
- Guide architecture for ML model lifecycle work (training, evaluation, monitoring, retraining) and LLM-powered workflows (agent orchestration, RAG pipelines, vector DB integrations)
- Oversee inference services supporting live payment routing, ensuring they meet strict latency and reliability requirements
- Ensure the team's AWS infrastructure, CI/CD, and observability practices (dashboards, tracing, on-call runbooks) meet a high bar
- Apply sound judgment on PCI-DSS and data-handling requirements across anything touching payment data
- Translate product vision into an executable technical roadmap with clear timelines and trade-offs
- Partner directly with product, operations, and modeling leadership to keep feedback loops short and priorities aligned
- Represent the AI/ML engineering team's progress and blockers to leadership
Skills
- 8+ years in software engineering, including 2-3+ years in a people management role leading engineers
- You have significant experience building and shipping backend and/or ML systems at scale
- You've managed engineers before, hiring, developing, and retaining a team
- You have hands-on familiarity with modern AI/ML systems: model training and serving, LLM-powered workflows (agents, RAG, orchestration), or similar — enough to have a real technical conversation with your team and challenge their thinking when needed
- Practical exposure to LLM-based systems in production (agents, RAG, or AI workflow orchestration)
- You communicate clearly and proactively, both with your team and with cross-functional partners in product and operations
- You're comfortable in a fast-moving startup environment — priorities shift, and you can re-scope and re-communicate without losing the team's trust
- You're driven by self-improvement and push the people around you to grow as well
- Payments, fintech, or another regulated-industry background is a strong plus, but not required
Benefits
- Vacations and additional PTO
- Remote work from anywhere
- Economic support for health insurance, internet and cell phone line
- Stock options
- Learning and development platform
- Multidisciplinary, diverse and dynamic team
- Growth and career path
Company Overview