Forward Deployed Engineer - MTS
AI summary of the role
This role embeds with Fortune 100 customers to build AI agents that execute complex, high-stakes workflows—not just chat or simple automation.
What you’ll do
- Collaborate with engineers on architecture and design decisions for AI agents that execute complex workflows
- Wrangle massive-scale data—integrating codebases, operational systems, data rooms, and proprietary datasets into stable pipelines that ground AI in institutional intelligence
- Build custom AI workflows tailored to customer needs: engineering diagnostics, financial analysis, client deliverable generation, code shipping
- Develop integrations that connect Context agents to customer tools and systems—Slack, Linear, Google Workspace, proprietary platforms
What you’ll bring
- 2+ years of relevant, post-college work experience in software engineering, preferably in customer-facing or deployment roles
- Strong coding skills with proficiency in programming languages such as Python, TypeScript/JavaScript, Java, or similar
- Experience building production systems—APIs, data pipelines, web applications, or integrations with enterprise software
- Intellectual curiosity about AI/ML systems and their application to real-world problems
Technologies
Python · TypeScript · JavaScript · Java · AWS · GCP · Azure · LLMs · Slack · Linear · Google Workspace
Source and classification
Production engineering · Evidence for this classification:
we ship this week are in the hands of teams at Fortune 100 companies next week, meaning every product bet we make gets immediate, high-stakes signal from some of the most consequential corporate teams in the world. What You'll Do At Context AI, the Forward Deployed Software Engineer (FDSE) role is where cutting-edge AI meets real-world complexity. You'll embed directly with Fortune 100 customers to build AI agents that execute complex, high-stakes work—not just chat or simple automation. As an FDSE, you'll be at the intersection of frontier language models and institutional intelligence, building systems that perform production-quality work knowledge workers do every day. FDSEs work side by side with our customers, rapidly understanding their most complex workflows and architecting solutions that ground AI in institutional intelligence—the tribal knowledge, business rules, and
More from the job description
About the Company Context is the AI platform to redefine knowledge work. We: Build agents that continuously learn to capture companies’ proprietary intelligence, including procedures, data, and objectives Provide the work surface for them to perform complex, long-horizon tasks alongside humans in a native office suite Deploy them in secure environments to Fortune 500 companies We are a fast-moving team of engineers and researchers from Apple, Ramp, Stripe, Meta, BAIR, and SAIL. We’ve built applications with 1M+ users, launched campaigns reaching 180M+ people, and forward deployed products in some of the world’s largest teams. We’re fortunate to be backed by Lux Capital, Qualcomm Ventures, General Catalyst, and BoxGroup. Most companies must choose between iterating on product fast and working with the biggest enterprises on earth. We have the rare privilege of doing both. Features we ship this week are in the hands of teams at Fortune 100 companies next week, meaning every product bet we make gets immediate, high-stakes signal from some of the most consequential corporate teams in the world. What You'll Do At Context AI, the Forward Deployed Software Engineer (FDSE) role is where cutting-edge AI meets real-world complexity. You'll embed directly with Fortune 100 customers to build AI agents that execute complex, high-stakes work—not just chat or simple automation. As an [... source excerpt omitted ...] of frontier language models and institutional intelligence, building systems that perform production-quality work knowledge workers do every day. FDSEs work side by side with our customers, rapidly understanding their most complex workflows and architecting solutions that ground AI in institutional intelligence—the tribal knowledge, business rules, and quality standards that define how organizations actually operate. Whether it's "How do we enable AI to diagnose firmware failures across million-line codebases?" or "How can AI run due diligence on multi-terabyte M&A data rooms with six-figure analyst quality?", you'll use your engineering expertise, creativity, and problem-solvin [... source excerpt omitted ...] ectly influence some of the world's most critical industries—telecommunications, finance, consulting, biotech, technology. By building on Context's AI platform and grounding it in customer data, you'll help organizations unlock AI that executes real work, operating 24/7/365 as a continuously improving teammate. As an FDSE, you'll experience the autonomy of a startup with the resources, mentorship, and stability of a well-funded AI company. Your contributions will have direct impact on how enterprises deploy AI and the productivity of knowledge workers. You'll work in small, agile teams and own end-to-end execution of high-stakes deployments, including: Collaborating with engine
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