Top Remote Python Jobs

The Forward Deployed Engineer will design, build, and deploy AI agent solutions for customers, optimize workflows, and enhance automation capabilities through active client engagement and collaboration with engineering teams.

Join a team to develop diagnostic software for commercial trucks. Responsibilities include building products, troubleshooting, and maintaining protocols.

Develop core technology using LLMs, design system architecture, implement code, define product requirements, and contribute to strategy and culture.

The Drafter will provide engineering support on mechanical equipment, assist with design documentation, create drawings, and support engineers in design projects.

Lead the development of a cutting-edge Dapp for ultra-low latency trading across multiple blockchain networks, managing complex state architectures and enhancing transaction protocols for a decentralized trading experience.

Design, build, and maintain end-to-end full‑stack features across Python/FastAPI backend, Next.js frontend, and LLM inference pipelines. Collaborate cross‑functionally to deliver scalable AI-powered patent analysis, optimize performance, address production issues, and reduce technical debt while improving engineering practices.

Design and implement interactive learning building blocks and clear APIs, own implementations from idea to launch, write maintainable code, collaborate in cross-functional teams, and ensure AI-interoperability and pedagogical correctness in interactive experiences.

The role involves developing features for a product, managing codebase areas, interacting with customers, and taking on challenging projects.

Own technical pre-sales end-to-end: run demos on real data, scope and build integrations, lead multi-week POCs, write SOWs, hand off to deployment, and drive product feedback across Sales, Product, and Engineering.

Design, develop, test, and deploy .NET solutions (APIs and web apps). Build and consume RESTful services, work with SQL and NoSQL databases, use cloud (Azure/AWS) and Docker, apply unit/integration/performance testing, participate in code reviews, define features via spikes, and architect scalable, high-performance systems. Support occasional after-hours and on-call rotation.