Remote AI Tooling Engineer for Developer Tools

Jobgether

Spain

Remote

EUR 85,000 - 120,000

Full time

2 days ago

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Benefits offered by this job

Fully remote working environment

Technology allowance

ESOP and equity opportunities

Health coverage for employee and some;

Annual professional development

Job summary

Jobgether is seeking a Software Engineer - AI Tooling based in Spain to shape the next generation of AI-powered developer experiences and tools. You will design, build, and maintain intelligent agents, MCP servers, agent skills, and AI-powered assistants, enabling developers to create smarter applications and workflows.

You will champion evaluation-first engineering, ensuring tools meet quality, reliability, and performance benchmarks.

Qualifications

At least 5 years of professional software engineering experience.
Strong proficiency in TypeScript and extensive knowledge of the JavaScript ecosystem, including npm, ES modules, bundlers, and compatibility considerations.
Deep familiarity with the AI ecosystem, including current tools, agent architectures, development patterns, and their practical trade-offs.
Ability to distinguish sustainable and effective AI engineering approaches from short-lived trends or unnecessary complexity.
Previous experience building developer tools, product interfaces, or platform components used by other engineers.
Experience designing, implementing, or working with evaluation frameworks to measure AI quality, reliability, and task success.
Understanding of evaluation fundamentals, including baselines, performance variance, cost considerations, and measurable quality improvements.
Strong technical judgment when identifying opportunities to use AI effectively while avoiding fragile, unnecessary, or overly complex solutions.
Solid testing practices and experience validating software reliability under real-world conditions.
Good knowledge of PostgreSQL and relational database principles.
Excellent written communication skills and the ability to collaborate effectively across engineering, product, and documentation teams.
Comfortable working in asynchronous, globally distributed teams and managing priorities independently.
Ability to navigate ambiguity, adapt to rapidly evolving technologies, and deliver high-quality solutions in a fast-paced environment.

Responsibilities

Design, develop, and improve AI-powered developer tools (MCP servers, intelligent agents, and dashboard assistants).
Ensure new products and features are accessible to AI agents from launch by developing necessary tools, skills, integrations, and evaluation frameworks.
Prototype new AI solutions, assess their effectiveness, and determine production suitability.
Develop evaluation frameworks, instrumentation, and feedback loops to measure AI tool quality and effectiveness.
Benchmark AI-powered tools against baselines, monitor performance, and define release criteria to prevent regressions.
Analyze how developers and AI agents interact with tools and translate insights into improved interfaces and documentation.
Design and optimise how technical documentation and product knowledge are exposed to AI agents.
Develop reusable patterns and tools enabling customers to integrate AI capabilities into their apps, including MCP integrations with Edge Functions and vector embeddings.
Enable cross-functional teams to contribute to AI capabilities with clear contribution guidelines and templates.
Centralise shared AI logic to reduce duplicated efforts across teams.
Ensure production readiness through testing, benchmarking, and reliability improvements.