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Forward Deployed Engineer - MTS

Job in Santa Fe, Santa Fe County, New Mexico, 87503, USA
Listing for: context learning finland oy
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

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 Box Group.

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 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 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-solving skills to build AI agents that deliver 30-40% productivity improvements and 90%+ cycle time reductions.

You ll have the rare opportunity to gain deep insight into and directly 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 engineers on architecture and design decisions for AI agents that execute complex workflows

  • Wrangling massive-scale data
    —integrating codebases, operational systems, data rooms, and proprietary datasets into stable pipelines that ground AI in institutional intelligence

  • Building custom AI workflows tailored to customer needs: engineering diagnostics, financial analysis, client deliverable generation, code shipping

  • Developing integrations that connect Context agents to customer tools and systems—Slack, Linear, Google Workspace, proprietary platforms

  • Engineering the learning flywheel
    —building systems that capture subject matter expert feedback and continuously improve AI agent capabilities

  • Engaging directly with customer stakeholders
    , from engineers and analysts to executives, understanding their workflows and demonstrating AI impact

  • Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value and measurable productivity gains

  • Embedding product insights from customer deployments into Context's core platform, turning customer-specific solutions into cross-customer capabilities

What We Value
  • Agency: Innovation happens when team members think…

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