AI Developer Tools Engineer

Input Output Group — United Kingdom · Posted ~10 hours ago

Full-time

Skills

AI-assisted software development Developer tools AI coding agents Software engineering Developer experience Product collaboration Technical tooling Agentic AI Blockchain

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Summary ✨ AI‑Generated

Own developer tooling that enables AI coding agents and software engineers to build applications on an emerging privacy-focused technology platform. You will maintain AI-enabled developer tools, translate real-world usage feedback into improvements, and collaborate closely with product and engineering stakeholders.

Highlights

Cross-functional engineering role focused on making AI-assisted development more effective for developers. The position combines developer tooling, AI coding agents, product collaboration, user feedback, and technical roadmap input at the intersection of AI and emerging software infrastructure.

Description

About Midnight Midnight is building a regulatory-friendly data protection blockchain designed to safeguard sensitive commercial and personal data while enabling developers, enterprises, institutions, and ecosystem partners to build privacy-preserving applications. The Midnight Solutions team works with partners, developers, Product, Engineering, Developer Relations, Business Development, Growth, and Marketing to help turn real use cases into successful adoption of Midnight technology. Role Summary The AI Developer Tools Engineer makes Midnight a first-class target for AI-assisted and agentic software development. This role owns the tooling that lets AI coding agents build on Midnight, maintains Midnight Expert and the Foundation's other AI-enabled developer tools, and turns real usage feedback from builders and agentic tooling into concrete input for the core protocol roadmap. The role works closely with, and reports to, the Head of Product, and sits at the intersection of developer experience, protocol strategy, and applied AI tooling. Makes Midnight buildable by AI coding agents, not just human developers, by shaping the tooling, context, and documentation those agents rely onOwns the day-to-day maintenance and quality bar of Midnight Expert and other AI-enabled dev tools used by the communityActs as the listening post for how agentic tooling and builders actually use Midnight, and translates that into structured input for the protocol roadmap Core Responsibilities Enabling Agentic Development on Midnight Own and improve the tooling, context files, SDKs, and documentation that let AI coding agents (e.g. Claude Code, Cursor, Copilot-style agents) build on Midnight effectivelyDesign, build, and optimize agent harnesses and orchestration workflows for Midnight-specific development tasksIdentify and close gaps where agentic tooling fails, hallucinates, or produces incorrect Midnight-specific codeBuild and maintain reference implementations, prompts, and examples that improve agent output qualityEvaluate new agentic coding tools and protocols (e.g. MCP servers) for relevance to the Midnight developer ecosystem Builder & Agentic Tooling Feedback Loop Monitor how builders and agentic tools are actually using Midnight — successes, failure modes, and workaroundsSynthesize feedback from agentic tooling usage and community builders into clear, structured input for the core protocol roadmapMaintain a regular reporting cadence to Product and Engineering on developer/agent experience trends and blockersRepresent the AI-assisted builder perspective in roadmap and prioritization discussions AI Dev Tooling Maintenance Own ongoing maintenance, accuracy, and reliability of Midnight Expert and other AI-enabled developer tools for the communityKeep tool knowledge bases, embeddings, and reference content current as the protocol evolvesTriage and resolve community-reported issues with AI dev toolingDefine and track quality metrics (accuracy, usefulness, adoption) for AI-enabled dev tools Requirements Recommended Experience & Qualifications Hands-on experience building, integrating, or maintaining AI coding assistants or agentic dev tooling (e.g. Claude Code, Cursor, GitHub Copilot, MCP servers, RAG-based coding assistants)Practical understanding of how AI coding agents consume context — prompting, retrieval, tool use — and what makes them succeed or fail on a given codebase or protocolFamiliarity with smart contract or protocol-level development (Cardano/partner-chain, ZK-based systems, or equivalent) is a strong plus, though not mandatory at this levelExperience turning qualitative user or usage feedback into structured product or roadmap inputStrong technical writing skills — this role will shape documentation and reference material AI agents and humans both rely onComfort working async and independently across a wide working-hours band (UTC-5 to UTC+5)Bonus: built an application on Midnight or another privacy network