Top Python Jobs in San Francisco, CA

The Senior Software Engineer will develop and maintain Truework's backend systems, solve complex problems, and collaborate across teams to deliver features that enhance customer satisfaction. Candidates should be independent problem solvers with strong communication skills and a proactive attitude, taking ownership of projects and participating in an on-call rotation.

The Senior Software Engineer will work on full-stack aviation robotics, addressing challenges in planning, mapping, object detection, and simulation for autonomous aircraft. Responsibilities include defining and implementing new features, conducting tests, collaborating with teams, and providing mentorship to junior members.

As a Full Stack Engineer at a16z, you will develop and maintain applications for large language model projects, working from front to back end. Responsibilities include optimizing backend services, collaborating with teams for technical solutions, and ensuring application reliability. You will also implement best practices for code quality and performance, integrate third-party tools, and work with data analytics workflows.

As a Senior Software Engineer at Coefficient, you will design and build complex backend systems, focusing on high-throughput data pipelines. Collaborating with the founding team, you'll develop scalable architectures and contribute to code quality and best practices in a remote-first environment.

In this role, as a Senior Software Engineer, you will develop high-velocity web and mobile products, lead projects, and work within a full-stack team to enhance our labor marketplace, ensuring successful product launch and iteration.

The Payments Engineer at Aidaly will design and implement payment processing systems, lead banking integrations, and streamline revenue cycle management in compliance with regulatory standards. The role includes ensuring scalable and secure systems while developing APIs for interactions with financial institutions and healthcare payment systems.

The role involves designing and developing scalable AI applications, integrating large language models, ensuring security, and optimizing backend services using Python. Collaboration with various teams to innovate AI solutions and manage complex tasks is key, along with creating robust software for LLM interactions and addressing security risks.