Remote Software engineering Jobs • Python

Work on advanced knowledge graph technologies, combining expertise in semantic web engineering, data modeling, and cloud-based solutions. Collaborate closely with a team of scientists, developers, and architects to design and implement scalable semantic web applications that support healthcare data intelligence. This is an excellent opportunity for someone with strong engineering skills and a passion for applying semantic technologies to real-world challenges.

The Device Engineer will work with Product Management and other Engineers to design, develop, and maintain network device integration software. You will develop support for emerging next-generation technologies in the networking security space and device integration solutions for products from Palo Alto, Juniper, Checkpoint, and others, including firewall brands specific to the APAC region.

Andesite is looking for a strong Senior Machine Learning Engineer who has a proven track record of delivering AI/ML products at scale. You will help build and iterate on a production agent architecture involving LLMs, RAG, and context/memory management. You will also be responsible for developing other models as needed to support evolving product requirements. Work closely with product managers, product developers, threat analysts, data scientists, and other engineers to understand the business requirements and translate them into ML solutions.

We are seeking a highly skilled GenAI Engineer to play a key role in advancing our AI-driven platform and client solutions. The ideal candidate has 4+ years of hands-on ML experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. A strong foundation in cloud-based ML solutions, AI model deployment, and optimization techniques is essential.

The New Products team at Mozilla is building a browser-automation stack for AI agents, and this role involves defining the technical vision, architecting the platform, and writing production code alongside the team to empower the next generation of intelligent web automation.

The New Products team at Mozilla is building a browser-automation stack for AI agents. As the founding Principal Software Engineer on the team, you will set the technical vision, architect the platform, and spend the majority of your time writing production code alongside the team. You will guide a small, fast-moving group of engineers, and personally deliver the core libraries, services, and tooling that empower the next generation of intelligent web automation.

Andesite is seeking a Senior Machine Learning Engineer to deliver AI/ML products at scale, design, develop, and deploy agentic AI involving LLMs, RAG, and context/memory management, manage AI/ML infrastructure and lifecycle, and collaborate within a cross-functional team. The candidate will also keep pace with research in machine learning, large language models, and cyber security.

As a Full Stack Engineer at Cyngn, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles. You will contribute to building a scalable, high-performance SaaS platform that enables real-time control and monitoring of autonomous vehicles. Your diverse skill set will allow you to seamlessly move between backend and frontend tasks, helping to create a cohesive and efficient system.

The Engineering Lead will lead a team of software engineers across both front-end and back-end to drive innovation in full-stack product development. Responsibilities include nurturing and mentoring engineering talent, developing roadmaps with product management, writing clean code in Ruby, Python, and Typescript, while maintaining high availability of products and quick response to any production incidents.

Weave is looking for a Backend Engineer to help eliminate one of the biggest bottlenecks of drug development: regulatory development. Every phase of a drug’s lifecycle requires extensive documentation to be submitted to the FDA. We’re bringing the whole process together, supported by LLMs, so teams can collaborate and accelerate their regulatory processes. From six months to six clicks.