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 budget

Flexible schedules and location

️ Ample paid time off, in addition to local public holidays

Enhanced parental leave

️ Health & retirement benefits

Annual learning & development budget - up to £500 / €600 / $650 per year

Annual workaways and regular virtual & in-person socials

Opportunity to contribute to groundbreaking projects that shape the future of work

Note: 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.