Top Remote Entry Level Software Engineer Jobs in Boston, MA

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Hands-on fellowship for university students and recent graduates interested in AI, backend engineering, cloud infrastructure, and software delivery. Fellows may research technology trends, build internal tools and automation workflows, explore LLM-powered agents, prototype backend or cloud solutions, and prepare technical documentation and client-readiness materials. The role emphasizes ownership, reliability, clear technical communication, and practical project experience.

Seeking a web developer to build and maintain websites or web applications. The posting provides no additional details about responsibilities, qualifications, technologies, compensation, or work arrangements.

Build polished, responsive front-end applications for Chiri Brain and client-specific AI solutions. Design user flows, prototypes, interfaces, reusable components, and design systems while integrating APIs, authentication, business data, agent workflows, and security controls. Work directly with customers and stakeholders to understand needs, rapidly prototype, gather feedback, and ship production-quality software. Help establish scalable front-end architecture and use AI-assisted development tools to accelerate delivery.

Boostlingo invites engineers to submit interest for future opportunities on its Language Intelligence Platform. Applicants select their engineering specialty, and the company will contact qualified candidates when a matching role becomes available.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

Develop and mature the LLDB-based Mojo debugger, including interactive debugging, IDE integration, debug information, expression evaluation, GPU debugging, profiling, and MCP capabilities. Define the debugger roadmap, collaborate with compiler and developer relations teams, engage the developer community, and support open-source contributions. The role requires LLDB internals expertise and strong knowledge of debuggers, linkers, compilers, and systems programming.

Lead technical design and execution for complex products and engineering initiatives. Build scalable systems across backend, frontend, APIs, databases, and infrastructure while remaining hands-on with coding, reviews, debugging, and production support. Set engineering standards, make architecture decisions, mentor engineers, identify technical risks, improve tooling and automation, and partner with product, design, and AI teams to deliver reliable products.

Build and ship end-to-end features for Augment’s iOS app, collaborate closely with product, design, backend, and fellow iOS engineers, and contribute to architecture, code quality, tooling, and long-term product health. The role emphasizes Swift and SwiftUI development, ownership, thoughtful collaboration, feedback, and effective use of AI-assisted development tools.