Top Software Engineer Jobs

Build and extend Mason, an AI-native property management assistant, across the full stack with a backend bias. Responsibilities include orchestrating multi-step LLM workflows, improving agent reliability, integrating with customer systems, extracting context from conversations and invoices, managing pipelines, and coordinating complex workflows among owners, tenants, vendors, and field agents. The role requires autonomy, attention to detail, customer engagement, and frequent in-person collaboration in San Francisco.

Build and scale reliable full-stack products for paving contractors, including AI-powered estimating, crew optimization, and automated business insights. Own system performance, security, observability, automation, testing, deployment, and technical standards. Collaborate with engineering, product, design, and company founders while helping shape team culture and development practices.

Full-time remote engineering internship with Product Engineering and AI/ML Engineering tracks. Interns may build and optimize scalable product features, contribute to architecture and design decisions, develop data pipelines and machine learning models, deploy AI applications, and integrate LLM-powered capabilities into Chess.com products. Applicants should be enrolled students or equivalent bootcamp participants with strong communication, ownership, teamwork, and relevant programming, database, machine learning, or AI experience.

Lead development of production-grade web and mobile applications using Flutter, React, JavaScript, and TypeScript. Own architecture, backend services, APIs, databases, integrations, testing, CI/CD, cloud deployment, monitoring, security, and production support. Lead and mentor a distributed team of 4–7 engineers, coordinate with cross-functional teams, manage releases to web and mobile stores, and ensure reliable, scalable, performant applications.

Develop and implement custom Salesforce applications using declarative tools, Apex, and Lightning Web Components. Integrate Salesforce with external systems, define requirements, support testing and deployment, create technical documentation, and collaborate with customers and engineering teams. The role also involves Agile, SDLC, DevSecOps, training, certification, and occasional team leadership.

Design, build, and operate secure, scalable Java microservices for a high-traffic consumer platform. Develop production LLM features using RAG, agentic workflows, and tool-use patterns. Lead design discussions and code reviews, improve quality and testing, partner with product, security, and platform teams, and resolve performance and scalability issues. Deploy and operate services on AWS using Docker and Kubernetes while applying event-driven architecture, CI/CD, infrastructure as code, and automated testing.

Build and maintain consumer iOS and React Native experiences for health results, biomarker data, chat, and other member journeys. Own mobile architecture, native integrations, reusable components, performance, accessibility, testing, observability, reliability, and App Store releases. Collaborate with product, design, clinical, web, and backend teams on clear health experiences, shared data contracts, and cross-platform development patterns. This is an in-person San Francisco role with substantial ownership in a small startup team.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Develop and maintain scalable Salesforce solutions using Apex, triggers, asynchronous operations, SOQL/SOSL, and Lightning Web Components. Build REST and SOAP integrations, translate business requirements into secure architectures, troubleshoot Salesforce applications, and collaborate with admins, architects, and stakeholders. Apply version control, deployment, testing, and Salesforce best practices while staying current with platform releases.

Build and deploy autonomous AI agents for enterprise customers. Own implementations end to end, including understanding customer workflows, developing integrations, shipping production agents and evaluations, and engineering systems for continuous improvement. Translate customer feedback and recurring deployment challenges into platform capabilities and product direction. Collaborate directly with customers and founders in a fast-paced, in-person startup environment.