Senior Applied AI Engineer
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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 RoleAs 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.
- 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.
- Experience with Make, n8n, Retool, Supabase or similar automation and internal tooling platforms.
- 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.
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 LevelSenior
Employment TypeFull 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
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