UMO
UMO
UMO provides personalised mental health, neurodiversity and wellbeing mentoring and coaching for universities and workplaces. Its services include specialist mental health mentoring, autism and neurodiversity support for ASD and ADHD, counselling, Disabled Students’ Allowance guidance, staff supervision and training, and transition support from university into employment. UMO also offers multilingual and international services, helping students and employees address mental health and disability-related challenges while working toward academic and career goals.

Senior AI Engineer at UMO (Portugal Remote)

Lead the development of production machine learning, LLM, and agentic systems for UMO’s AI-powered fintech platform. Own secure and compliant AI architecture from early prototypes through large-scale deployment.

Description

  • Develop production-grade backend software and services
  • Build dependable asynchronous pipelines that support AI models
  • Create deterministic bridges between agentic behavior and secure, predictable financial operations
  • Translate machine learning research prototypes into stable, high-performance production systems
  • Partner with backend and data engineers to operationalize, monitor, and improve agentic workflows
  • Contribute across retrieval, memory, and orchestration systems
  • Use tools including Cursor, Claude Code, and Copilot in daily development
  • Own critical components of the AI platform and ecosystem
  • Help shape an AI-powered financial product for business owners, artists, and freelancers

Requirements

  • At least five years of experience as a senior engineer
  • Strong foundations in software engineering
  • Hands-on experience designing, building, and scaling production machine learning and AI systems
  • Practical knowledge of modern LLM tools and orchestration frameworks
  • Experience deploying agentic systems to production
  • Experience with semantic search and retrieval architectures
  • Experience evaluating production AI systems for quality, cost, and latency
  • Experience using LLMs with personally identifiable and sensitive data in regulated environments
  • Experience delivering AI systems within strict security, compliance, and audit constraints
  • Strong Python programming skills
  • Experience with asynchronous execution models
  • Ability to manage deadlines, own work end to end, and share technical context
  • Fluent written and spoken English
  • Startup experience is preferred
  • Fintech or crypto experience is preferred but not required
  • A track record of deploying live, multi-agent automated workflows is a bonus

Benefits

  • 24 days of annual leave
  • Dedicated paid sick leave
  • Public holiday observance
  • Two consecutive four-day work weeks each year after the first year
  • Top-of-the-line hardware
  • Home office stipend
  • Dedicated learning budget
  • Clear, accelerated progression toward executive leadership
  • Remote work openness for the right candidate
  • Meaningful influence over product and company direction

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