Senior Applied AI Engineer

Vibehackers; España; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Make

n8n

Retool

Supabase

Job summary

Vibehackers is seeking a Senior Applied AI Engineer to design, build, deploy, and maintain AI-powered internal tools that accelerate hiring, finance, and operations workflows. You will own end-to-end integrations of LLMs, agent frameworks, embedding pipelines, and related tooling in production environments.

You will prototype rapidly, evaluate models and APIs, connect systems and data stores, and collaborate with non-technical teams to deliver scalable automation with clear ownership.

Qualifications

• Proven experience with shipped AI projects or equivalent demonstrable work.
• Experience building with modern AI tooling (LLMs, AI coding assistants, workflow automation).
• Comfortable moving fast, communicating clearly, and collaborating cross-functionally.
• Demonstrated ownership and startup/entrepreneurial mindset in previous roles.
• Ability to integrate with APIs, databases, and third-party services and operate production systems reliably.

Responsibilities

• Rapidly prototype and ship AI-powered internal tools (days/weeks).
• Evaluate, integrate, and chain AI models, APIs, and frameworks into production-ready solutions.
• Integrate tools with existing systems (APIs, databases, third-party services) and ensure reliability at scale.
• Own deployments end-to-end: build, test, ship, monitor, and operate without constant supervision.
• Document and share tools so they provide compounding leverage across the company.
• Collaborate closely with non-technical teams to understand pain points and deliver automated solutions.

Skills

Applied AI

AI systems integration

Rapid prototyping

End-to-end deployment

API integration

Database integration

Monitoring and reliability

Documentation

Cross-functional communication

Product ownership

Entrepreneurial mindset

Education

Degree/bootcamp/self-taught accepted

Tools

LLMs

AI coding assistants

workflow automation

Job description

About the Role

Senior Applied AI Engineer to build and ship AI-powered internal tools that dramatically speed up hiring, finance, and ops workflows. Lead end-to-end integration of LLMs, agent frameworks, embedding pipelines, and other AI tooling into production-ready internal solutions with strong ownership.

Job Description

Role

As a Senior Applied AI Engineer you will own the design, build, deployment, and maintenance of AI-powered internal tools that automate and accelerate company workflows. You will work with LLMs, agent frameworks, embedding pipelines, and other emerging AI tooling to deliver production-ready solutions with end-to-end ownership.

Key Responsibilities

• Rapidly prototype and ship AI-powered internal tools (days/weeks).
• Evaluate, integrate, and chain AI models, APIs, and frameworks (LLMs, agent frameworks, embedding pipelines, AI coding tools) into production-ready solutions.
• Integrate tools with existing systems (APIs, databases, third-party services) and ensure reliability at scale.
• Own deployments end-to-end: build, test, ship, monitor, and operate without constant supervision.
• Document and share tools so they provide compounding leverage across the company.
• Collaborate closely with non-technical teams to understand pain points and deliver automated solutions.

Requirements

• Proven technical background with shipped projects (degree, bootcamp, or self-taught accepted).
• Experience building with modern AI tooling (LLMs, AI coding assistants, workflow automation).
• Strong ability to move fast, communicate clearly, and collaborate cross-functionally.
• Demonstrated ownership and startup/entrepreneurial mindset (built internal critical tools or founded/built impactful projects).
• Comfortable integrating with APIs, databases, and third-party services and operating production systems reliably.
• Fluency in English; German is a plus.

Nice-to-have / Bonus

• Experience with Make, n8n, Retool, Supabase or similar automation and internal tooling platforms.

What you’ll get

• End-to-end ownership to build internal tooling from zero to one.
• A founder-level mandate to decide what gets built and how.
• Direct access to latest LLMs, agent frameworks, and AI coding tools and a culture that prioritizes speed and iteration.

Skills

Applied AI AI systems integration Rapid prototyping End-to-end deployment API integration Database integration Monitoring and reliability Documentation Cross-functional communication Product ownership Entrepreneurial mindset

Experience Level

Senior

Employment Type

Full Time

• Ownership of internal tooling (zero-to-one)
• Fast iteration and ability to ship in days/weeks
• Direct access to latest LLMs, agent frameworks, and AI coding tools