Teams at Jetbro

Develop and productionize AI/ML features for enterprise procurement, including forecasting, recommendations, document intelligence, supplier scoring, spend analytics, and anomaly detection. Prepare datasets, train and fine-tune models, run experiments, integrate APIs and AI services, optimize production performance, monitor deployed models, and document implementations. Collaborate with engineering, product, and domain teams in an on-site product environment.

Build and operate scalable Elixir backend services using Ash, Phoenix, LiveView, and PostgreSQL. Design resources, actions, policies, APIs, workflows, and real-time features; integrate LLM APIs and vector databases; deploy and scale services on Fly.io; and manage analytics, monitoring, debugging, and performance. Collaborate closely with product managers and business stakeholders, contribute to architecture and strategy, and own features from requirements through production iteration.

Build and maintain scalable backend services, APIs, and data pipelines using TypeScript/Node (Express) and Python (FastAPI/Django). Design and optimize database schemas and queries (MySQL/Postgres), implement background jobs and event pipelines, integrate third-party services, use AI coding assistants, participate in code reviews and architecture decisions, and own features end-to-end including deployment and monitoring.