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About the Role

Train, test, and ship models that power Peec AI’s recommendations, helping customers boost their visibility in AI search. Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility. Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems. Design and implement data pipelines to ingest, process, and analyze large volumes of data.

Responsibilities

• Train, test, and ship models that power Peec AI’s recommendations
• Develop algorithms that extract actionable insights from AI search behavior
• Own the full model lifecycle from experimentation to production deployment
• Design and implement data pipelines to ingest, process, and analyze large volumes of data

Requirements

• Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure
• Familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)
• Deep curiosity about how LLMs work
• Ability to reverse-engineer AI search behavior and translate patterns into actionable product features
• Track record of taking projects from research to production in a fast-moving startup environment
• Strong problem-solving skills
• Comfort working with ambiguous, evolving problems
• Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders

Skills

• Python
• SQL
• Pandas
• NumPy
• HuggingFace
• PyTorch
• TensorFlow
• ONNX
• GCP
• Cloud Functions
• Firestore
• Postgres
• AlloyDB
• BigQuery
• OpenAI
• Claude
• Perplexity
• Gemini
• Llama
• FastAPI
• Docker
• Typescript

Location

• Berlin

Work Type

• Full-time

Experience Level

• Startup experience

Benefits

• Aggressive equity compensation package
• Paid Dinner & Uber home when working late

About the Company

• Peec AI is one of Europe’s fastest-growing Series A startups.