Senior Software Engineer

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 daynot 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 intelligencethe 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 familiarrich editors, interactive dashboards, multi-modal canvases where AI executes complex work
• Designing Autopilot UXorchestrating agent plans and live previews so users can see AI think, execute, and iterate in real time with sub-100ms interactions
• Building the integrations layerseamless connections to Google Workspace, Microsoft 365, Notion, Slack, Linear, and 300+ other tools that ground AI in institutional intelligence
• Engineering the design system & component libraryperformant, accessible React/Tailwind components that scale from mobile to 4k monitors
• Building the learning flywheel infrastructuresystems 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

• Frontend: TypeScript React Next.js Tailwind CSS
• Backend: Python (FastAPI) Postgres Redis custom graph store
• AI/ML: OpenAI / Anthropic APIs + in-house fine-tunes
• Infrastructure: Kubernetes GCP

• Agency: Innovation happens when team members think from first principles and go above and beyond to achieve objectivesnot by simply completing tasks
• Strong Engineering Fundamentals: A highly analytical approach and eagerness to solve technical problems with data structures, distributed systems, cloud infrastructure, APIs, and modern frameworks
• Obsession with Execution Quality: Understanding the difference between AI that assists and AI that executes production-quality workand building systems that achieve the latter
• Comfort with Ambiguity: Experience or curiosity about working with massive-scale, unstructured data to solve valuable business problems where "how we do things" isn't documented
• Product Creativity: Our engineers don't just turn inputs into outputs. We expect team members to think creatively and invent ways to improve the product
• Low Ego: We understand that the outcome matters more than who gets the credit. Team members share wins and don't play politics
• Adaptive and Introspective: We operate in a fast-moving environment and accordingly iterate rapidly; team members must be able to learn from their mistakes and improve constantly

• You've shipped polished, user-loved web apps at scalefront-end to back-end and everything between
• You sweat the details: motion, pixel-perfect layouts, sub-100ms interactions, joyful empty states
• You prototype quickly, validate with users, and iterate based on data and intuition
• You write clear RFCs, welcome feedback, and enjoy pair-designing as much as pair-programming
• Fluent in TypeScript/React; comfortable jumping into Python services when needed (or eager to learn)
• You see AI as a design material and are excited to invent new UX paradigms around it

• 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 systemsAPIs, data pipelines, web applications, real-time UX, or complex frontend architectures
• Track record of shipping features that users lovedemonstrated attention to UX, performance, and polish
• Intellectual curiosity about AI/ML systems and their application to real-world problems

• 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