Forward Deployed Engineer (Office of the CEO)

We are looking for an incredibly high-agency builder who is energized by a start-up culture, thrives in ambiguity, bridges the gap between strategic vision and technical reality, and fundamentally loves to learn and ship at the frontier of technology innovation. The role will also work alongside our Keystone Artificial Intelligence & Machine Learning (K.AIML) team, focused on building, deploying, and scaling AI-powered tools that enhance Keystone’s impact. Key Responsibilities Workflow Re-Architecture & AI Deployment Problem Discovery & Execution: Embed with teams to understand how work gets done, identify high-leverage inefficiencies, and translate them into concrete technical solutions AI Integration: Design and deploy practical, production-ready applications using LLMs, RAG pipelines, and modern AI tooling Agentic Workflows: Build and implement AI-driven workflows that automate repetitive or time-intensive tasks, using emerging frameworks where appropriate Internal Tools, Automation & Dashboards Data Integration: Work with fragmented internal and external datasets to build reliable, automated data pipelines and systems Dashboarding: Create real-time, decision-grade dashboards and tools for the CEO and leadership team Full-Stack Development: Rapidly prototype and ship internal applications (from backend logic to simple frontends) with a bias toward speed and usability AI-Assisted Development: Leverage modern AI-assisted development tools to move quickly while maintaining strong standards for code quality, security, and scalability Forecasting & Prediction Algorithms Applied Modelling: Develop and implement forecasting or predictive models tied to real business use cases (e.g., operational bottlenecks, pipeline trends, or market dynamics) Analytical Problem Solving: Apply a rigorous, data-driven approach to ambiguous problems, using modern data tooling and statistical techniques End-to-End Ownership: Own the full lifecycle of systems you build—scoping, prototyping, validation with stakeholders, and production deployment What You’ll Bring Required Builder’s Mindset: Demonstrated track record of shipping real products, tools, or systems—not just prototypes Education: Bachelor’s degree in a highly technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science Experience: ~4–6 years of professional experience in software engineering, data engineering, or a similarly fast-paced technical building role, including product management. Technical Skills: Strong proficiency in Python and/or TypeScript, with solid foundations in APIs, data modelling, and relational databases Communication : Ability to clearly explain technical concepts and trade-offs to non-technical stakeholders, including senior leadership, and rapidly navigating a matrixed organisational structure Preferred AI & Data Systems: Experience building with LLMs, RAG architectures, or modern data pipelines Product Intuition: Strong judgment on what to build, how to prioritize, and how to iterate quickly based on user feedback Autonomy: Ability to operate independently, navigate ambiguity, and make pragmatic trade-offs under pressure In addition to annual salary, we provide an annual discretionary bonus, 401k contribution, and competitive benefits package. Actual Compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications. Annual Salary Range $250,000 — $275,000 USD At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.