Senior Research Engineer, Applied AI at Cato

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

190000.0

Posted On

12 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM-Enabled Systems, Prompting, Context Engineering, AI Output Benchmarking, Python, ChatGPT, Claude, Gemini, Grok, Software Development, System Architecture, Empirical Evaluation, Data Visualization, Communication, Self-Directed Work, Public Policy

Industry

Think Tanks

Description

Description The Cato Institute seeks qualified candidates for the Senior Research Engineer, Applied AI position. AI tools are proliferating rapidly. Making them genuinely useful for policy research requires someone who bridges the gap between what these systems have the potential to do with the breadth, depth, precision, and traceability that good research demands. The Cato Institute has already begun creating AI-enhanced research capabilities. The Senior Research Engineer, Applied AI, joins that effort as Cato’s first dedicated engineering position focused on the research domain — a role with significant latitude to shape how research technology evolves at Cato. The Senior Research Engineer closely partners with research teams, understanding their problems and identifying where AI and other advanced methods can make a real difference. And the Senior Research Engineer gets their hands dirty, building state-of-the-art, research-grade tooling and capabilities — such as context engineering architectures, AI output benchmarking tools, and literature discovery systems. Project priorities emerge through consultation between the Senior Research Engineer, the CTA, and research leadership — a process that will take shape as this new role matures, and the Senior Research Engineer will play an active part in shaping it. The projected salary range for this role is $100,000 - $190,000 per year. Compensation is based on the successful candidate's educational background, experience, and skills. About Cato The Cato Institute is a public policy research organization — a think tank — dedicated to the principles of individual liberty, limited government, free markets, and peace. Its scholars and analysts conduct independent, nonpartisan research on a wide range of policy issues. Founded in 1977, Cato owes its name to Cato’s Letters, a series of essays published in 18th-century England that presented a vision of a society free from excessive government power. Those essays inspired the architects of the American Revolution. And the simple, timeless principles of that revolution — individual liberty, limited government, and free markets — turn out to be even more powerful in today’s world of global markets and unprecedented access to information than Jefferson or Madison could have imagined. Social and economic freedom is not just the best policy for a free people, it is the indispensable framework for the future. Cato Institute is an Equal Opportunity Employer. Responsibilities Organize and support a cross-department working group to: -Identify opportunities for AI-enhanced research methods -Establish best practices, training materials, and reusable templates that help scholars leverage AI tools effectively Build research tools and multi-step AI workflows that improve how scholars work, iterating system architecture and integrations based on their feedback and usage Design and implement context engineering systems to structure Cato’s policy research for accurate retrieval and analysis by AI agents Evaluate AI outputs against scholarly standards, diagnosing whether poor results stem from context gaps, architectural flaws, or model limitations — and implement programmatic guardrails that enforce analytical rigor and empirical honesty Partner with scholars and data visualization specialists on the technical infrastructure of major reports Likely Initial Focus Areas (First 6-12 Months) Launch the cross-department AI-enhanced research working group Discover existing research technology usage and workflows between multiple Cato research departments Devise and execute empirical assessment methods for custom AI instructions already in use Build tools and create technical organization to address opportunities identified by the working group and discovery Requirements Education and Experience Bachelor’s degree in computer science, data science, statistics, economics, computational social science, or a related quantitative or technical field 5+ years of experience building software, tools, or data systems, including experience in or serving research, policy, government, or academic environments Expertise building LLM-enabled systems (prompting, retrieval/context construction, tool use, and evaluation), and iterating them based on structured empirical evaluation Proficiency with multiple major LLMs: ChatGPT, Claude, Gemini, and/or Grok Proficiency with Python to build research tools and integrate AI capabilities Working knowledge of Claude Code, Codex, or similar agentic AI development tools Familiarity with research methods and analytical workflows in a policy, academic, or government setting — sufficient to collaborate meaningfully with researchers and evaluate whether tool outputs meet scholarly standards Knowledge and Skills Strong written and verbal communication, with the ability to explain technical concepts to non-technical researchers and document systems clearly Self-directed, intellectually curious, and comfortable working across departments in an advisory and collaborative capacity Familiarity with Cato's work or demonstrated interest in public policy Preferred Qualifications A demonstrated ability to rapidly acquire new technical skills from first principles to adapt to the highly accelerated pace of AI development Experience with SQL and data pipeline tools to transform and structure research datasets for analysis and retrieval Experience with R, Stata, or other research-oriented programming languages Familiarity with cost-performance trade-offs across AI model tiers Familiarity with think tank, government, or academic research environments Benefits All Cato employees are provided: Medical, dental, and vision insurance Employer contribution to a Health Savings Account (HSA) Generous vacation and sick days Paid parental leave Employer-provided life and disability insurance 401(k) employer match Transit/Parking benefits Pet discount plan To Apply Please submit the following materials: Resume or CV A cover letter — written by your own hand, not with the LLM tools you’ve mastered, so we can best understand your genuine thought process — detailing your experience at the intersection of research and engineering, your interest in leveraging AI and other advanced technology for policy research, and why Cato’s mission appeals to you Optional: links to code repositories, personal projects, or technical writing Applicants must be currently authorized to work in the United States on a full-time basis. This position does not offer visa sponsorship.

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Responsibilities

The engineer will organize a cross-department working group to identify AI research opportunities and establish best practices, while also building state-of-the-art research-grade tooling, such as context engineering architectures and AI output benchmarking tools.