Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailMimicas 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. Mimicas 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.
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 youll have the opportunity to shape our technical direction architecture processes and culture.
Working with Machine Learning Engineers to build the Backend of our Computer Use Tool and bringing it to production by building and supporting ML-driven applications.
Develop integrations and services that communicate between different backend components.
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.
Strong proficiency with Python Backend-Engineering 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
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
Knowledge of Rust or other low-level languages
This is a fully remote position. You can be based anywhere in the UK Europe or the Americas within a UTC-7 to UTC3 timezone.
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.
Required Experience:
Senior IC
Full-Time