Forward Deployed Engineer - MTS
Context· Applied
San Franciscofull-timePosted 11mo ago
About the role
A role involving embedding with Fortune 100 clients to build AI agents for complex, high-stakes work, merging frontier language models with institutional knowledge.
Responsibilities
- 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
Qualifications
- 2+ years of relevant, post-college work experience in software engineering, preferably in customer-facing or deployment roles
- Strong engineering background, preferred in fields such as Computer Science, Software Engineering, Mathematics, Physics, or related technical disciplines
- 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
- Ability and interest to travel up to 25-50% as needed to customer sites for onboarding, training, and deployment
Skills
Required:Software EngineeringCoding Skills
Last updated Apr 26, 2026. Interested? Apply on the company site.
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