Top Tech Jobs & Startup Jobs

Design, build, and iterate a new full-stack software product; define product direction and architecture; develop and integrate AI/ML features; lead or support AI implementation projects for healthcare clients; translate complex requirements into scalable full-stack solutions; collaborate with a small cross-functional team and take end-to-end ownership.

Develop, validate, and improve an existing AI-driven crypto trading engine and build/optimize the platform GUI. Implement and refine AI trading logic and recommendation systems, ensure code quality, performance, and scalability, and iterate on the live proof-of-concept toward a full pilot.

Act as a technical partner for input management: configure software solutions, implement integrations (APIs, data mapping), support clients, and apply AI tools and prompt engineering to optimize processes and analyses.

Act as an on-site AI consultant driving enterprise-wide AI adoption: train employees, translate use cases into agent systems, evaluate deployment architectures, implement hands-on demos, and align roadmaps with the core AI team and Chief of Staff.

Build and deploy AI-driven solutions for industrial operations: prototype features, implement customer deployments, translate deployment learnings into scalable product improvements, collaborate with engineers and stakeholders, and drive product strategy with founders.

Build the technical foundation for a pilot data platform: analyze system landscape, design and implement ETL pipelines connecting planning, trading, forecasting and ERP systems, automate high-friction manual steps, embed tiered data classification and RBAC, validate outputs against live operations, document architecture and governance, and prepare a rollout template.

Design, develop, test, and maintain Android applications. Implement new features, optimize performance and stability, debug and improve code, and contribute to architecture and technical decisions to deliver high-quality mobile user experiences.