Top Remote Entry Level Software Engineer Jobs in Boston, MA

Leads more than 10 engineers across Agent Tools, Agent Observability, and Runner Execution. Responsibilities include hiring, coaching, prioritization, technical design, AI tool standards, safe agent execution, sandboxing, observability, and cross-functional partnership across GitLab’s AI organization.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Leads and coaches a software engineering team, supports career development, participates in hiring, removes delivery roadblocks, and shapes technical direction. The manager ensures reliable, high-performing systems while driving daily adoption of agentic AI tools and collaborating with Product and Business Technology stakeholders. The role requires a strong full-stack engineering background, architectural expertise, experience delivering quality software, and demonstrated success leading AI adoption.

Designs, develops, and maintains infrastructure for ML pipelines and CI/CD. Analyzes infrastructure performance, collaborates with data and software teams, manages feature stores and model registries, writes maintainable code, and documents technical processes. The role requires experience with cloud, big-data, programming, workflow orchestration, version control, and continuous integration technologies.

Build and operate large-scale distributed web crawlers that discover, fetch, extract, deduplicate, and recrawl billions of pages. Develop targeted pipelines for audio, video, and multilingual data, transforming web content into training-ready datasets. Create infrastructure and tooling for researchers to request, monitor, evaluate, and explore crawled data, while ensuring reliability, efficiency, compliance, politeness, and rate-limit handling.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, orchestration, entitlements, tenancy, metering, integrations, data access, and platform services. Own services across architecture, implementation, testing, deployment, monitoring, reliability, and support while applying distributed-systems principles. Collaborate with client product, engineering, data, and platform stakeholders in a remote consulting environment.

Designs, builds, operates, and supports backend services powering an enterprise AI platform. Responsibilities include developing APIs, AI gateway and orchestration capabilities, entitlements, tenancy models, data access patterns, integrations, and platform services. The engineer owns services throughout design, implementation, testing, deployment, monitoring, reliability, and support while collaborating with client product, engineering, data, and platform stakeholders.

Build and maintain full-stack customer-facing and administrative experiences for an enterprise AI platform. Develop front-end interfaces, APIs, backend integrations, and supporting services for configuration and operational workflows. Own features from customer problem discovery through production delivery, collaborating with product, design, platform engineering, and clients. Ensure usability, accessibility, performance, reliability, automated test coverage, and maintainability in a remote consulting environment.

Co-found and lead the technical direction of a new B2B AI venture. Own problem framing, architecture, system design, product judgment, AI product development, customer discovery, verification, fundraising support, and eventual technical team building. Build maintainable AI and agentic systems that solve real customer workflows, prioritizing traction before scale. The role requires a full-time, exclusive founder commitment with meaningful equity and authority.