Not because companies don’t want to become more efficient, but because they don’t know where to start.
Mimica automatically analyzes your team’s work, then generates the AI agents to execute it. Our software turns everyday work into data-backed decisions, helping companies remove process bottlenecks, automate the right tasks, and upskill teams with precision and confidence.
We’ve raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Behind our platform is a team of exceptionally talented people, remote-first and globally distributed across 16+ countries. You’ll join a 45-person team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount. Our approach to engineering
– We work in small, project-based teams
– We own the full lifecycle of our projects
– We balance quality and velocity
– In this role,
you will own and support the development of backend systems that interface with ML models. Miner Team, whose goal is to enable rapid and accurate labelling and segmentation of data in the Miner product through automation and ML methods. Data Intelligence Team, whose goal is to provide ML-enriched data for downstream tasks and ensure user data privacy. You will support our data orchestration and processing pipeline, as we build with scalability in mind.
In all cases, we’re looking for a Lead/Staff-level engineer to join the Python Chapter, who will have the opportunity to shape our technical direction, architecture, processes, and culture, and to level up the team and Chapter in development practices.
Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture.
– Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test
– Developing observability for new an
📌 Staff/Lead Python Engineer (España)
🏢 Mimica
📍 España