About Context

We're on a mission to unlock the next frontier of productivity for knowledge workers.

Context AI is building the future of enterprise AI—systems that don't just answer questions or automate simple tasks, but execute the complex, judgment-heavy work that drives real business outcomes. The constraint blocking AI from creating true enterprise value isn't model intelligence anymore; it's institutional intelligence: understanding how your organization operates, where information lives, what quality standards matter, and how work actually gets done.

Our platform solves this by automatically learning each organization's unique context—the tribal knowledge, business rules, internal lexicon, and tacit expertise that defines production-quality work. Each Context task can connect to gigabytes of data across entire codebases, data rooms, and operational systems, enabling AI agents to perform real work that knowledge workers do: engineers analyzing firmware logs to identify root causes, bankers running due diligence on multi-terabyte data rooms, analysts refreshing deliverables with live market data, and consulting teams creating client presentations and websites.

We've proven our system with Fortune 100 customers, achieving 30-40% productivity improvements, reducing cycle times by over 90%, and deploying solutions in days rather than months. Context AI operates 24/7/365 across global teams, freeing knowledge workers to focus on strategic initiatives and new growth frontiers.

Why Context

• Massive Impact: The potential of enterprise AI is unbounded, and we're at the frontier. At Context, you will build software that transforms the nature of work for thousands of engineers, bankers, analysts, consultants, product managers, lawyers, and more

• Real Technical Challenges: Design systems no one else has ever built in order to tackle problems that no one else has ever solved

• Ownership That Matters: We trust our team members to direct influence on product direction and own entire systems. At Context, you propose, build, and ship features with full autonomy and ownership

• Elite Technical Team: We've assembled a superstar team hailing from Apple AI, Microsoft Research, Google, Stripe, Ramp, and more. Work with and learn from the best

What You'll Do

t 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:

• 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 sys