Strong experience with Python.
Experience with Ruby or Django for integrations.
Experience designing feature stores, embedding systems, or ML observability platforms.
Familiarity with large-scale APIs and high-throughput backend systems.
Experience with infrastructure supporting ML workloads.
Background with orchestration, monitoring, and experiment tracking tools.
Experience mentoring engineers and driving AI adoption.
Passion for API-driven products and engineering excellence.
Experience with incident response, monitoring, and CI/CD improvements.
Background in distributed systems or infrastructure-heavy products.
Team & Environment:
Highly autonomous engineering culture.
Strong collaboration between Engineering and Product teams.
Opportunity to influence AI strategy and technical direction.
Fast-paced environment focused on innovation and experimentation.
High-impact role with visibility across the organization.
Culture centered around mentorship, ownership, and continuous improvement.
About Ubiminds
Our Culture
People First. We are all about people!
Challenge yourself. There’s always room for improvement and continuous improvement is in our essence.
Make it happen. Be ready to take challenges as they come. It’s all about attitude and commitment.
We’re in this together. We work as a team, thrive as a team, and evolve as a team.
Averaging on awesome. We work hard to deliver high-quality services and look forward to exceeding expectations.
Keep it real. We promise you honesty, transparency, and openness, regardless of the situation.
Perks and Benefits
As an AI Agentic Engineer @Ubiminds, you:
Are placed in a product-based company, with the same treatment as their full-time employees.
Have our full back-office support, from career guidance to HR and concierge services.
Enjoy our remote-first policy.
Get your own MacBook.
Have access to growth opportunities through tech talks, chapter meetings, and remote happy hours.