Senior Applied Ai Engineer
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.
Explicitly focused on rapid, experimental 'vibe' coding with LLMs and agent frameworks to build internal AI agents and tools.
Location: Spain
Type: Full Time
Posted: 2 days ago
Category: AI/ML & Data
Vibe Markers: 🚀 Startup, 💻 Open Source, 🔥 Hot
Experience Level: Senior
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.
Tech Stack
LLMs, agent frameworks, embedding pipelines, AI coding tools, AI coding assistants, APIs, Databases, Make, n8n, Retool, Supabase
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
Benefits
- Founder-level mandate
- 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