Top Remote Entry Level Software Engineer Jobs in Boston, MA

Develop and maintain backend services and RESTful APIs using C# and .NET. Design and optimize MySQL schemas and queries, troubleshoot production and staging issues, improve performance and scalability, document architecture, and uphold code quality and security. Collaborate with cross-functional teams in a fully remote environment while contributing to development best practices and continuous improvement.

Own significant areas of PayBox end-to-end, from problem definition through production and iteration. Build AI-interface payment and peer-to-peer transfer experiences, integrations across AI platforms, and infrastructure for applications and plugins. Partner with Product, improve onboarding and UX, make pragmatic architectural decisions, and operate autonomously in an ambiguous, fast-moving environment. The role emphasizes strong systems thinking, product judgment, thoroughness, and extensive but accountable use of AI.

Build full-stack features for search, browsing, content curation, governance, and student exploration across education products. Develop backend services using databases, datastores, messaging, and cloud infrastructure, while building accessible TypeScript and React frontends. Write unit, component, and contract tests and add observability through traces, metrics, and logs. Work independently with distributed teams and help adopt AI-first development through multi-agent orchestration and formal engineering constraints.

Build and operate AI agent systems with customer engineering teams, helping move prototypes into reliable production systems. Design agents, improve evaluations, monitoring, scaling, and reliability, and train customers on the Mastra framework. Translate recurring customer challenges into open-source framework improvements, fix performance issues, ship new primitives, improve code quality, and influence the product roadmap through production insights.

Build, deploy, and support secure, scalable full-stack healthcare payment applications. Own front-end, service, backend, analytics, data pipelines, CI/CD, cloud deployment, observability, performance optimization, production incidents, and compliance. Collaborate with product, data, DevOps, QA, business, and client teams to deliver reliable features and platforms across hybrid cloud and on-premise environments.

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.

Develop high-performance parsers, compilers, and data structures that constrain LLM decoding according to schemas, grammars, policies, and function definitions. Research parser, compiler, and symbolic methods; write reliable, efficient code; and optimize implementations through rigorous testing and automation. The role requires professional Python expertise, lower-level programming experience, strong formal language knowledge, and clear written communication. It is fully remote with at least three hours of daily overlap with Eastern Time business hours.

Develop ServiceNow customer applications for work order management, scheduling, and dispatch. Collaborate with stakeholders and technical SMEs, enhance event rules and CMDB binding, configure Discovery and Service Mapping, manage MID servers, build integrations using REST APIs, prevent duplicate CIs, and migrate and configure custom discovery and application patterns across environments.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

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.

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.