Remote Software engineering Jobs · Python

• Design, train, and operate ML systems that power the Tebra platform.
• Own the entire lifecycle from data exploration and model development to deployment.
• Push the boundaries of applied ML in healthcare, transforming messy real-world data into reliable automation.

• Design, develop, and maintain end-to-end features for Cresta’s no-code processing platform.
• Build intuitive UI components and visual editors for configuring conversation logic and workflows.
• Architect and implement backend services and APIs to power a dynamic no-code interface.

• Own end-to-end implementation of AI-powered product features, from prototypes to production.
• Mentor other engineers on the team, leveling up the team as a whole.
• Collaborate across the organization to support shipping these features to production.

Design, develop, and maintain scalable services that support the diverse activities of a high-throughput laboratory. Develop both front-end and back-end applications Implement and manage CI/CD pipelines using GitLab. Collaborate closely with end-users and product managers to iterate on requirements and deliverables. Optimize architecture and infrastructure on the AWS cloud platform for performance, scalability, reliability, and cost-effectiveness.

• Lead technical efforts across multiple teams, owning system reliability.
• Mentor engineers and drive improvements that scale beyond a single team.
• Design, develop, and maintain scalable and secure APIs and integration services.

• Manage projects and problems of significantly larger scopes.
• Formulate an efficient game plan for delivering a stable, well-tested feature on time.
• Make technical recommendations that improve the codebase while minimizing risk.

Design resilient and scalable solutions using EasyPost's core API. Spearhead complex changes to eCommerce integration systems, focusing on scalability and reliability. Enable the consolidation of technologies across full-stack teams, supporting the transition to a standard tech stack.

• Lead the design and deployment of advanced AI inference systems for high-profile clients.
• Translate complex business problems into robust, real-time AI architectures.
• Partner with technical teams and clients to deliver scalable, high-performance solutions on modern GPU and cloud infrastructure.

This role involves hands-on design, development, and deployment of enterprise-grade agentic AI solutions. You will work on multi-agent systems, workflow automation, and AI integration across business processes. The position offers exposure to cutting-edge AI technologies and collaboration with cross-functional teams.

• Design, implement, and maintain integrations between internal apps and external platforms.
• Proactively monitor and troubleshoot integration issues to ensure uptime and performance.
• Automate workflows that reduce manual data processing across systems.