You’ll identify open AI opportunities, build them from start to finish, and bring them to real users.
As a Forward Deployed Engineer for Key Accounts, you are the technical point of contact for a portfolio of Aircall s strategic customers.
As an ICX Engineer, you lead the ideation and creation of these engagements.
Data sits at the heart of the company.
Development of AI/ML models; - AI solution analysis, design and implementation; - Deploy machine learning models and AI solutions into produ
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed syste
Before the detail, here s the challenge you d help us solve.
Entwickelt und verbessert 3D-Rekonstruktionsmethoden und Szenenrepräsentationen wie Gaussian Splats, von Optimierung pro Szene bis zu Feed-forward-Modellen.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
Role highlights: - Senior MLOps Engineer, ISR - Location: Berlin, Germany - Department: ISR Analytics - Reports to: VP of ISR Analytics - Em
As a Senior Perception Engineer, you ll develop core components of SE3 s perception stack, including object detection, tracking, semantic se
Build agents that investigate incidents.
We are looking for a Senior Software Engineer to join the AI Platform Team at Smartly!
Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it s ever at risk.
qlub is scaling fast across markets worldwide, and we look for people who take real ownership of their work.
Build and ship models that predict user value, engagement, and reward behaviour.
Who We Are Hi, we re DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online.
DATA ENGINEERING In this role, you will collaborate closely with data scientists, business analysts, and solution and analytics architects t
TYTAN Technologies The PACE is fast.
Shape the future of enerprise AI and Knowledge Graph solutions.
As a Technical Lead Engineer – ML, you will develop the next generation of AI-powered radar perception systems for autonomous vehicles.
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Own the product vision, roadmap, and backlog for Agentic AI and Generative AI solutions.
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
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You’ll identify open AI opportunities, build them from start to finish, and bring them to real users. As a Senior AI Product Engineer, you’ll work across our three product squads: You’ll single-handedly turn unaddressed topics into products, hand them off once they’re up and running, and serve as a sparring partner for the squad PMs on all AI-related topics. For us, “senior” refers to your approach to work, not your years of experience. You’ll report directly to Product Leadership.
- Independent AI projects (about half of your time) - You’ll identify high-impact AI opportunities in our legal workflows - in areas where no specific squad is responsible - Validation happens quickly: discussions with attorneys, Legal Ops, and insurers; prototypes built in days - You’ll bring the winning solutions into production yourself: routing, chaining, summarization, and agent-based loops - You’ll hand off mature features to the squad - complete with documentation, evaluations, and a handover plan Support for the squads (the other half) - Feasibility, costs, model selection, risks: You’ll answer these questions before every AI feature is launched - You support the teams in designing evaluations, golden datasets, and guardrails - You review concepts before they go into the roadmap - including prompt injection and compliance risks (GDPR, Section 203 of the German Criminal Code) - You advance AI best practices: prompt engineering standards, LLM observability, and agent-based coding workflows
Multiple production-ready AI/LLM systems that you’ve shipped to real users and taken responsibility for - no prototypes - Demonstrable product ownership: from a vague problem to a finished product - Strong Python skills and a solid foundation in software engineering (Git, testing, CI/CD, code review) - In-depth experience with LangGraph, LangChain, or similar - including an understanding of what’s happening under the hood - Proficiency with LLM provider APIs: function/tool calling, structured outputs, streaming - Evaluations, golden datasets, and guardrails before deployment - Solid prompt engineering - you know when to use which technique - Business-level English; German is a major plus due to our legal domain Soft Skills - The maturity to work without a squad around you: You set your own priorities and know when to say no - You can explain a technical trade-off to a lawyer and a legal workflow to an engineer What we promise Work Environment & Flexibility - Office-first: 3 days in the office, 2 days working from home - with flexibility in how you structure your work - Modern, air-conditioned office with plenty of natural light and a large rooftop terrace overlooking Berlin - Central location between Gleisdreieck and Potsdamer Platz
Full coverage of the public-transport ticket - Company pension plan with a 20% employer contribution - Corporate benefits platform with discounts from many brands - Dog-friendly office - Regular company and team events, after-work fun with Switch, PS5, darts, and foosball - Free drinks, fresh fruit, and granola Culture & Collaboration - Agile mindset with open communication - every voice counts - Feedback is part of our culture - we believe in growing together Fast application process - Your application as an AI Product Engineer (Senior) - short and to the point - Approx. 20-minute introductory conversation with our HR team - Approx. 60-minute in-person interview with your hiring manager - Approx. 30-minute discussion with the management team - A prompt job offer Your contact: Nadine
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