Top Remote Senior Level Software Engineer Jobs in Boston, MA

Lead the development of healthcare data products, improve data quality, and collaborate with cross-functional teams. Mentor junior engineers and apply statistical techniques in data processing.

As a Lead Analytics Engineer, you will build data products, collaborate with stakeholders, drive technical excellence, and mentor junior engineers.

Looking for a Senior Software Engineer to develop full-stack applications, improve functionality, mentor team members, and influence technical direction.

The Senior Backend Engineer, AI Systems will design features for a SaaS environment, manage complex data, and work with AI models. Responsibilities include implementation, support for production, and collaboration within an agile team.

Responsible for developing and configuring SAP FPSL modules, supporting production users, testing, and enhancing the OneGL finance environment.

Lead software development projects, solve complex problems, enhance system performance, and define strategic engineering goals while collaborating with stakeholders.

Drive enterprise-wide intelligent automation initiatives using N8N and Tray.ai. Guide engineers, partner with stakeholders, and implement scalable AI solutions.

Develop maintain a specialized semantic data framework, design performant services, own features from design to delivery, and collaborate across teams.

The role requires designing and developing features for macOS sensor software, collaborating across teams, and addressing security frameworks and system performance.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.

The Senior Data Engineer will design and build scalable ELT/ETL pipelines, improve data quality, and collaborate with teams to ensure accurate data delivery and operational excellence within Cedar's data platform.

Lead the Data Engineering team to strengthen client billing, financial reporting pipelines, and machine learning while ensuring data quality and reliability.