Senior AI Engineer

UMO

. Write production code and implement robust backend software components .

Posted 10/6/2026full-timeRemote • PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing production-grade machine learning and AI systems, with a strong focus on security, compliance, and performance. Proficient in managing end-to-end task ownership and collaborating effectively within cross-functional teams.

Highest-signal resume keywords

Production Code DevelopmentMachine Learning System DesignAsynchronous Execution ModelsPython ProgrammingAI Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI SystemsProduction-Grade SoftwareSemantic SearchData Retrieval ArchitecturesAsynchronous ExecutionQuality MeasurementCompliance StandardsTechnical OwnershipSoftware Engineering Fundamentals

Soft Skills

Deadline ManagementTechnical Context SharingCollaboration

Tools & Technologies

CursorClaude CodeCopilotOrchestration FrameworksAI Development Tools

Industry Keywords

FintechCryptoRegulated EnvironmentSensitive Data HandlingAutomated Workflows

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Write production code and implement robust backend software components
Build reliable asynchronous execution pipelines alongside AI models
Design deterministic-agentic bridges for predictable, secure, and compliant financial tasks
Bring machine learning models from research prototypes into stable, highly performant production code
Collaborate with backend and data engineers to move agentic workflows from prototype to reliable, monitored production systems
Work across retrieval, memory, and orchestration layers
Use AI development tools such as Cursor, Claude Code, and Copilot in daily engineering workflows
Take technical ownership of key parts of the AI ecosystem
Shape an AI-powered financial platform for business owners, artists, and freelancers

Requirements

What you’ll need

5+ years of experience as a senior engineer
Deep software engineering fundamentals
Proven hands-on experience designing, writing, and scaling production-grade machine learning and AI systems
Practical experience with modern LLM tooling and orchestration frameworks
Practical experience taking agentic systems into production
Practical experience with semantic search and retrieval architectures
Experience measuring AI systems in production across quality, cost, and latency
Experience handling personally identifiable information and sensitive data with LLMs in a regulated environment
Experience designing and shipping AI systems within strict security, compliance, and audit boundaries
Strong programming skills in Python
Experience with asynchronous execution models
Ability to manage deadlines and end-to-end task ownership while sharing technical context
Fluent written and spoken English
Startup experience preferred as a bonus
Fintech or crypto experience preferred but not required
Proven track record of shipping live, multi-agent automated workflows to production is a bonus

Benefits

Comp & perks

24 days of annual leave
Dedicated paid sick leave
Observance of Public Holidays
Two consecutive 4-day work weeks annually after the first year
Top-of-the-line hardware
Home office stipend
Dedicated learning budget
Clear, accelerated path toward executive-level leadership
Openness to remote for the right fit
Impact and ownership over product and company direction