Senior Software Engineer - MTS

Context • San Francisco, CA

102d

About The Position

At Context AI, Senior Software Engineers (MTS) architect and build the platform that powers AI agents executing complex, high-stakes work for Fortune 100 enterprises. You'll work at the intersection of frontier language models and production-grade distributed systems, creating the technical foundation that enables AI to perform production-quality work knowledge workers do every day—not just chat or simple automation.

As a Senior MTS Engineer, you'll own critical technical domains and drive architectural decisions that ground AI in institutional intelligence—the tribal knowledge, business rules, workflows, and quality standards that define how organizations actually operate. Whether it's architecting graph-powered retrieval systems that feed gigabytes of context to AI agents, building orchestration layers that coordinate multi-step workflows across million-line codebases, or designing resilient integrations that connect 300+ enterprise tools, you'll use your deep engineering expertise and technical leadership to build software that delivers 30-40% productivity improvements and 90%+ cycle time reductions for our customers.

You'll have direct impact on how enterprises deploy AI across telecommunications, finance, consulting, biotech, and technology. Your architectural decisions will enable AI agents that operate 24/7/365 as continuously improving teammates, executing engineering diagnostics, financial analysis, client deliverable generation, and code shipping with six-figure analyst quality.

As a Senior MTS Engineer, you'll experience the autonomy and impact of a founding engineer with the resources, mentorship, and stability of a well-funded AI company. You'll lead technical initiatives, mentor other engineers, and own end-to-end execution of platform-critical systems, including:

Requirements

• Relevant experience in software engineering building production web applications
• Strong engineering background, preferred in fields such as Computer Science, Software Engineering, Mathematics, Physics, or related technical disciplines
• Strong full-stack coding skills with proficiency in TypeScript/JavaScript and React; Python experience or willingness to learn
• Experience building production systems—APIs, data pipelines, web applications, real-time UX, or complex frontend architectures
• Track record of shipping features that users love—demonstrated attention to UX, performance, and polish
• Intellectual curiosity about AI/ML systems and their application to real-world problems

Nice To Haves

• Experience building collaborative editors (CRDT, OT, multiplayer systems)
• Strong visual design sensibility or prior work with design systems and component libraries
• Publications or medals (IOI/ICPC, NeurIPS, SOSP) showing technical depth
• Familiarity with LLM fine-tuning, retrieval, or agentic chains
• Experience with cloud infrastructure (AWS, GCP, Azure) and modern DevOps practices
• Prior work in high-growth startups or platform/infrastructure teams

Responsibilities

• Architecting and building end-to-end product features that feel magical yet familiar—rich editors, interactive dashboards, multi-modal canvases where AI executes complex work
• Designing Autopilot UX—orchestrating agent plans and live previews so users can see AI think, execute, and iterate in real time with sub-100ms interactions
• Building the integrations layer—seamless connections to Google Workspace, Microsoft 365, Notion, Slack, Linear, and 300+ other tools that ground AI in institutional intelligence
• Engineering the design system & component library—performant, accessible React/Tailwind components that scale from mobile to 4k monitors
• Building the learning flywheel infrastructure—systems that capture subject matter expert feedback and continuously improve AI agent capabilities
• Collaborating on architecture decisions with Product, Design, and Engineering teams to turn customer insights into cross-customer platform capabilities
• Owning full-stack features from database schema to API design to pixel-perfect frontend, ensuring production quality at every layer

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees