Top Remote Software Engineer Jobs in Boston, MA

Rapidly prototype AI-driven insurance products and own end-to-end delivery of prototypes/MVPs. Build full-stack applications (usable UIs, APIs, integrations), provision and manage cloud infrastructure, leverage AI tooling to accelerate development, iterate quickly, and collaborate with product and domain experts to define production readiness.

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

We are seeking a Senior Software Engineer specializing in AI to enhance our Website Experience Platform. Responsibilities include developing AI-driven solutions to optimize web experiences for users. This role involves collaboration with teams to deliver performant digital experiences, focusing on customer trust and quality delivery.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

As a Senior Full-Stack and Platform Software Engineer at mabl, you will develop features for an AI-powered test automation platform, enhancing user experiences, designing APIs, and optimizing data pipelines while collaborating with cross-functional teams.

The Automation Engineer will design, implement, and maintain automation workflows using Apache Airflow, scripting, and various integrations to enhance operational efficiencies. Responsibilities include building pipelines, automating repetitive tasks, ensuring application reliability, and collaborating across teams to identify automation opportunities.

Cohere Health seeks a Software Engineer II to design, develop, and support AI-driven healthcare automation solutions while collaborating with cross-functional teams.

Design, maintain, and evolve core backend systems and APIs. Collaborate with product teams to create durable and reusable systems while enhancing performance and security.

Lead technical delivery for a large engineering team, own and implement foundational backend systems at scale, define cross-org technical direction, and solve ambiguous product problems involving search, media, performance, and modern ML/LLM technologies.

As a Principal Software Engineer, you'll design scalable cloud storage architectures, optimize performance, and collaborate with teams to enhance storage solutions for AI workloads.