Top Remote Entry Level Software Engineer Jobs in Boston, MA

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 customer-facing and administrative experiences for an enterprise AI platform. Develop front-end interfaces, APIs, backend integrations, and supporting services across the full stack. Own features from customer problem discovery through production delivery while partnering with product, design, platform engineering, and clients. Ensure usability, accessibility, performance, automated test coverage, reliability, and maintainability in a remote, client-facing 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.

Rotational technology development program providing hands-on experience across cybersecurity, data analytics, technical product and project management, artificial intelligence, application development, and IT infrastructure. Participants receive structured training, mentorship, and leadership development while contributing to healthcare-focused digital transformation initiatives.

Develop client-side features for a complex live multiplayer mobile game using Unity3D. Responsibilities include implementing LiveOps content, writing production-ready code, designing feature architecture, optimizing mobile performance, integrating assets, improving asset workflows, and collaborating with international interdisciplinary teams across shared game systems.

Build and maintain scalable full-stack web applications across front-end and back-end systems. Develop RESTful APIs, integrate AI and machine-learning models using Python, manage SQL and NoSQL databases, and create GitHub Actions CI/CD pipelines. Collaborate with data scientists, troubleshoot and improve existing software, participate in code reviews, and apply modern DevOps, cloud, containerization, and microservices practices.

As a Software Engineer - Backend, you will develop products and manage engineering infrastructure, focusing on system design, security, and code quality.

Develop and maintain front-end and back-end platform components, build features, optimize performance and scalability, and support seamless web and mobile experiences. Collaborate with the CTO and Product Manager to implement technical solutions. The role requires proficiency in React, Next.js, Node.js, Express, MongoDB, real-time communication, streaming technologies, and familiarity with DevOps and cloud services.

Leads and coaches a team building and maintaining integrations between a cybersecurity platform and third-party technologies. Responsibilities include technical design reviews, code reviews, troubleshooting, direct engineering contribution, delivery planning, stakeholder collaboration, process improvement, and team development. The manager balances new integrations, maintenance, customer needs, and technical debt while promoting reliable engineering practices and practical use of AI-assisted development tools.

Lead architecture and development of custom business applications that automate legacy workflows for SMB clients. Translate business processes into scalable CRM, project-management, integration, and operational software using AI-assisted development through Replit. Ensure application security, reliability, infrastructure stability, and performance. Design integrations with legacy systems such as Sage 300, and eventually recruit and mentor a development team while establishing AI-augmented engineering practices.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.