AI Tooling Engineer at Jobgether

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

JavaScript, TypeScript, LLM Tooling, Agent Architectures, Postgres, Vector Databases, Pgvector, Evaluation Frameworks, Platform Engineering, Developer Experience, API Design, CLI Development, Embeddings, Edge Functions, System Benchmarking, Product Intuition

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Tooling Engineer in Canada. This is a high-impact engineering role focused on shaping how developers and AI agents interact with modern backend infrastructure and developer tooling. You will help design and build AI-native interfaces that power workflows across dashboards, documentation, and internal platforms. The role blends strong product thinking with deep engineering expertise, requiring you to translate real-world developer needs into scalable, reliable tooling and abstractions. You will work at the intersection of AI systems, developer experience, and platform engineering in a fast-evolving ecosystem. This position offers the opportunity to influence how AI is integrated into developer workflows at scale while collaborating closely with cross-functional teams. It is ideal for engineers passionate about AI systems, tooling, and building products that other developers rely on daily. \n Accountabilities: Design, build, and maintain AI tooling surfaces such as MCP, agent skills, and developer-facing AI interfaces. Improve and evolve AI-driven dashboard assistants to support debugging, workflows, and self-serve product usage. Translate customer AI usage patterns into improved product experiences, abstractions, and documentation structures. Develop and maintain evaluation frameworks, instrumentation systems, and feedback loops to measure AI reliability and performance. Design ways to expose product knowledge and documentation effectively to AI agents and developer tools. Build reusable patterns and infrastructure for AI integration across applications, including Edge Functions, embeddings, and agent workflows. Centralize shared AI logic and reduce duplication across services and engineering teams. Ensure high reliability through strong testing, benchmarking, stress testing, and validation of AI systems. Collaborate with cross-functional teams including docs, frontend, API, and CLI to deliver cohesive developer experiences. Stay up to date with the evolving AI ecosystem and apply best practices to improve developer-facing AI capabilities. Requirements: Strong proficiency in JavaScript and TypeScript, including modern ecosystem tooling (npm, ES modules, bundlers, browser constraints). Deep understanding of AI systems, including agent architectures, LLM tooling, and practical trade-offs in production use. Experience building developer tools, platforms, or internal systems used by engineering teams. Hands-on experience designing or implementing evaluation frameworks for AI systems and task quality measurement. Familiarity with Postgres and database design principles. Experience with vector databases, embeddings, and tools such as pgvector or similar technologies. Strong product intuition for identifying valuable AI use cases and avoiding fragile or low-impact solutions. Strong focus on testing, reliability, and real-world validation of systems. Excellent communication skills and ability to collaborate across engineering, product, and documentation teams. Experience working in fast-moving, experimental, or platform-oriented engineering environments is highly valued. Benefits: Fully remote working model with global flexibility. Equity participation (ESOP) in the company. Home office and tech setup allowance to support your ideal workspace. Comprehensive health coverage for employees and partial coverage for dependents. Annual off-site gatherings for collaboration and team connection. Flexible, asynchronous work culture focused on autonomy and trust. Annual learning and professional development budget. Co-working or WeWork membership allowance available globally. Opportunity to work on cutting-edge AI-native developer tooling. Strong open-source culture with a global, highly distributed engineering team. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Design and build AI-native interfaces, agent skills, and tooling surfaces to improve developer workflows and backend infrastructure. Develop evaluation frameworks and reusable AI infrastructure to ensure reliability and performance across internal platforms.