Note: The job is a remote job and is open to candidates in USA. Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their global teams. They are seeking a Senior/Staff-level AI Agentic Engineer who will design and deliver AI-powered products, take ownership of initiatives, and mentor engineers to elevate the team's AI capabilities.
Responsibilities
- Build agentic workflows and AI-powered products
- Design and deliver production-grade AI solutions from concept to deployment
- Collaborate closely with Product and Engineering teams to deliver high-quality software
- Take ownership of ambiguous problems and drive initiatives end-to-end
- Mentor engineers and help elevate the team's AI capabilities
- Contribute to the evolution of AI standards, patterns, and engineering practices
- Develop scalable and maintainable solutions in a polyglot environment
- Promote strong collaboration and transparent communication across teams
- Influence the technical direction and AI culture of the organization
Skills
- 8+ years of experience in Software Engineering, Machine Learning, or AI-related roles
- Strong proficiency in TypeScript
- Experience with LangGraph, LangSmith, and MCP Servers
- Proven track record building and deploying production AI/ML systems
- Experience across the full ML lifecycle, including data preparation, modeling, evaluation, deployment, and monitoring
- Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), and modern AI approaches
- Strong proficiency with Python or another major AI/ML language
- Ability to work effectively in polyglot environments
- Experience building products from 0→1 with high autonomy
- Strong communication skills and collaborative mindset
- Advanced English communication skills
- 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
Benefits
- 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.
- Improve your English through free lessons with native English speakers.
- Participate in our Candidate Referral Program.
- Optionally use our Florianópolis office with snacks, games, and weekly massages.
Company Overview