What we are building

Mimica''s mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.What you will own

In this role, you will support the backend of a new Product - the Mimica Maker. This will be a product that allows users to build and orchestrate bots from the data we record.You will build pipelines and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services.As a founding member of the Maker Team, you‘ll have the opportunity to shape our technical direction, processes and culture.Part of your day-to-day

Working with Machine Learning Engineers to bring our Computer Use Tool to production by building and supporting ML-driven applications.

Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test

Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo)

Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models

Being responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation

Documenting procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring

Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow.

Requirements

Strong proficiency with

Python

and knowledge and hands-on working with GenAI models

Background in solving complex technical challenges at the intersection of Software Development and Data/ML Engineering

Familiarity with cloud infrastructure, ops and containerised tools like Kubernetes, Docker or others.

Experience in designing, building, and maintaining data collection tools, caching/storage systems, queues and pipelines

Knowledge of best practices for performance optimisation, memory management and

observability.

Strong analytical and troubleshooting skills – methodically decomposing systems to identify bottlenecks, determine root causes, and implement effective solutions

Drive to continually develop your skills, improve team processes and reduce technical debt.

Fluency in English

and ability to effectively communicate abstract ideas, complex concepts and trade-offs

Nice to have:

Having been a founding/early member of an Engineering team

Experience working within a fast-growing Scale-up environment – delivering value quickly and iteratively

Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring

Location

This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC-7 to UTC+3 timezone.What we offer

Generous compensation + stock options - aligned with our internal framework, market data, and individual skills.Distributed work: Work from anywhere - fully remote, in our hubs, or a mix.Company-issued laptop*, remote setup stipend, and co-working budgetFlexible schedules and location? Ample paid time off, in addition to local public holidaysEnhanced parental leave? Health and retirement benefitsAnnual learning and development budget - up to £500 / €600 / $650 per yearAnnual workaways and regular virtual and in-person socialsOpportunity to contribute to groundbreaking projects that shape the future of workNote : Some benefits may vary depending on location and role

*

On company equipment :

Company-issued equipment (e.g. laptops) is provided for work use and must be returned upon departure, unless otherwise agreed.

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