Forward Deployed Engineer

Key Responsibilities

• Guide our company and team leaders through AI-Native tool development and help them "go the final mile."
• Embed a tool directly into a partner company's day-to-day workflow and support adoption.
• Turn a promising prototype into a formal, structured, repeatable asset that scales across our companies.
• Serve as a technical partner to our team.

Building & Deploying Specialist Tools

• Map data flows across business systems.
• Connect existing platforms (CRMs, ERPs, financial tools) via MCP servers and APIs.
• Deploy agents into production with clear human-in-the-loop interfaces.
• Manage deployed agents on an ongoing basis, tracking KPIs, running evals after model or data changes, and iterating on performance.

AI Tooling & Skills Ecosystem

• Make our team more productive.
• Formalize and hone Kanbrick's Skills library.
• Accelerate the use of "AI coworking tools."
• Build toward a full KBS plug-in suite - a set of tools every operator across our businesses reaches for by default.
• Own the build and curation of the internal AI-enabled projects, tools, and skills repository.
• Turn ad hoc experiments into repeatable, version-controlled, distributable assets.
• Maintain a partner-facing skills library with documentation that lets teams browse, install, and use tools independently.

Drive Enterprise Software Development

• Take end-to-end ownership of workflows that warrant graduation into "Enterprise-Level" software.
• Pressure-test which problems justify enterprise investment.
• Scopify architecture and data models.
• Partner with internal stakeholders and outside engineering resources where needed.
• Shepherd the system from prototype through deployment, adoption, and ongoing operation.

Requirements

• A builder instinct and a bias toward action.
• A passion for software engineering, emerging technologies, and AI-driven technical acceleration.
• Autonomous and self-directed; build working versions before waiting for detailed specs.
• Hands-on experience in a technology or technology consulting environment, gained through internships or early career roles.
• Hands-on experience building with modern AI tooling - LLMs, agents, prompt engineering, MCP servers, skills, and CLI-based workflows - in production or experimental settings.
• Proficiency in Python, TypeScript/JavaScript, or both, with comfort in Git, cloud platforms (AWS/Azure/GCP), and API integrations.
• Strong written and verbal communication skills - comfortable presenting to leaders and writing documentation in equal measure.
• Comfortable with breadth over depth - this role spans workflow design, agent deployment, system integration, training, and documentation.

Benefits

• KBS is a small team of hands-on operators.
• You work directly with people who have run businesses and built real things on the ground floor of creating a new function.
• 7-8 operating companies (and growing) across multiple industries to work in.
• You'll work across a wider range of business problems than a traditional software engineering role.
• A long-term platform, not a fund cycle.
• Kanbrick is built for the long run, and this role is meant to grow with the firm.
• You have a strong voice in defining how AI operations work across the portfolio.
• You'll be a key part in the development of the strategy, not maintaining someone else's stack.
• Competitive salary and benefits.