AI Engineer & Team Lead

Pitch; Deutschland; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading tech company in Germany is searching for an experienced AI Engineer and team lead to join its dedicated AI team. In this hands-on role, you will guide the team while collaborating with designers and engineers to create innovative AI features. Key responsibilities include designing and integrating AI systems into the product, leading the team, and ensuring effective communication with stakeholders. Ideal candidates should have a deep passion for AI and experience in deploying AI/ML systems in production environments.

Qualifikationen

• Proven experience developing and deploying AI systems in production.
• Genuine passion for AI and innovation in user experiences.
• Strong understanding of AI/ML techniques, especially in NLP.

Aufgaben

• Lead and support the AI team with innovation and delivery.
• Design, build, and integrate AI-powered features into the product.
• Evaluate and deploy AI models for production use.

Kenntnisse

Leadership capability

Experience in AI or ML systems

Strong programming experience

Familiarity with APIs and frameworks

Collaboration in a cross-functional team

Tools

Clojure

ClojureScript

OpenAI

Jobbeschreibung

We’re looking for an AI Engineer and team lead to join our dedicated AI team. You’ll play a key role in shaping how AI enhances Pitch’s core product – from smart content suggestions and automated design assistance to new, intelligent workflows that make presentation creation effortless.

This is a hands‑on role where you’ll collaborate with designers, product managers, and engineers across the company to bring innovative AI features to life. You’ll work across the stack, integrating AI systems into Pitch’s Clojure‑ and ClojureScript‑based architecture.

Beyond individual contributions, you’ll also take an active role in leading the team – helping to distribute work effectively, make sound product and technical decisions, maintain reasonable scope, and communicate progress clearly to stakeholders.

What You’ll Do

• Lead by example: guide and support the AI team, balancing innovation with delivery, and ensuring clear alignment across disciplines.
• Design, build, and integrate AI‑powered features directly into Pitch’s product experience.
• Work closely with product and design to identify where AI can meaningfully augment user workflows.
• Evaluate, and deploy models for production use.
• Collaborate with infrastructure and backend teams to ensure scalability, reliability, and privacy of AI systems.
• Stay up to date with advancements in generative AI, NLP, and multimodal models – and bring new ideas into the product.

Requirements

• Leadership capability: able to coordinate projects, manage scope and priorities, and communicate progress to stakeholders. You have previous experience of having led teams and taken them from idea conception to release of a finished product.
• Proven experience developing and deploying AI or ML systems in production environments.
• A genuine passion for AI – you follow the space closely, experiment with new tools, and think deeply about how AI can elevate user experiences.
• Solid understanding of modern AI/ML techniques, particularly in NLP, generative models, and embeddings.
• Strong programming experience.
• While prior experience with Clojure or ClojureScript is a big plus, it’s not a requirement – we’re happy to help you learn. If you have functional programming experience in languages like F#, Lisp, Haskell, etc. – even better.
• Familiarity with APIs and frameworks such as OpenAI, Claude, Fal, etc.
• Experience with prompt engineering, model evaluation, and iterative experimentation.
• Comfortable collaborating in a cross‑functional, product‑focused team.
• A pragmatic mindset: you care about impact, not just technology.

Nice to Haves

• Experience with vector databases, retrieval‑augmented generation (RAG), or multimodal systems.
• Familiarity with building AI‑powered user experiences in web applications.
• Contributions to open‑source AI/ML projects or prior work with presentation, productivity, or design tools.
• Experience using AI to architect, develop and validate features.