AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Senior Data Scientist (f/m/d)
Automate time-series data monitoring for engineers using unsupervised machine learning to uncover unknown anomalies and accelerate root cause analysis.
Benefits:
Diverse and collaborative environment
Opportunities to grow
Work on cutting-edge technology
Flexible working hours
Attractive compensation with equity plan
Experience Requirements:
Senior level experience
Strategic mindset
Excellent leadership skills
Excellent communication skills
Interpersonal skills
Other Requirements:
Highly motivated individuals
Responsibilities:
Take initiative to set priorities and exceed goals
Gain deep knowledge on functions of an AI enterprise software company
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Senior Backend Engineer (f/m/d)
Automate time-series data monitoring for engineers using unsupervised machine learning to uncover unknown anomalies and accelerate root cause analysis.
Benefits:
Diverse and collaborative environment
Opportunities to grow
Work on cutting-edge technology
Flexible working hours
Attractive compensation with equity plan
Experience Requirements:
Senior level experience
Other Requirements:
Work with cross-functional teams of software engineers
Responsibilities:
Build a scalable end-to-end system
Develop dashboard for anomaly detection tool
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Senior DevOps Engineer (f/m/d)
Automate time-series data monitoring for engineers using unsupervised machine learning to uncover unknown anomalies and accelerate root cause analysis.
Benefits:
Diverse and collaborative environment
Opportunities to grow
Work on cutting-edge technology
Flexible working hours
Attractive compensation with equity plan
Experience Requirements:
Senior level experience
Knowledgeable in building scalable infrastructure
Other Requirements:
Passionate about building fault-tolerant and highly available infrastructure
Responsibilities:
Develop scalable end-to-end system for Streem.ai
Build, maintain, monitor and enhance backbone infrastructure
Work in a multi cloud environment
Collaborate with software engineers and data scientists
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QA Engineer Working Student or Intern (f/m/d)
Automate time-series data monitoring for engineers using unsupervised machine learning to uncover unknown anomalies and accelerate root cause analysis.
Benefits:
Diverse and collaborative environment
Opportunities to grow
Work on cutting-edge technology
Flexible working hours
Attractive compensation with equity plan
Experience Requirements:
Intern or Working Student level
Other Requirements:
Support Software Engineers, Data Scientists, Product Managers and Designers
Responsibilities:
Release Testing
Exploratory Testing
Regression Testing
Writing Bug reports
Test Automation activities
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Software Engineer, Platform
Build adaptive AI agent memory and reliable knowledge graphs that learn from feedback to replace standard RAG with high-accuracy, reasoning-driven retrieval.
Benefits:
Competitive compensation
Welcoming atmosphere
Commitment to an exceptional asynchronous work culture
Autonomy fostering focus and creativity
Opportunity to have a significant impact in a revolutionary industry
Experience Requirements:
Proven experience in backend development: TS/Node (required)
Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
Experience with Docker and containerized deployments (preferred)
Proficiency in deploying high availability applications on Kubernetes (preferred)
Other Requirements:
Strategic thinking and passion for making product decisions
Obsession with winning and fast delivery
Responsibilities:
Design, develop, and maintain robust APIs (TTS, Payment, Subscription, Auth)
Oversee the full backend API landscape, enhancing for performance
Collaborate on B2B solutions and enterprise client integration
Align backend architecture with overall product strategy and user experience
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Talents wanted (all genders)
Build adaptive AI agent memory and reliable knowledge graphs that learn from feedback to replace standard RAG with high-accuracy, reasoning-driven retrieval.
Benefits:
Transparency of business strategies
Working in Berlin office including 2 home office days per week
Autonomy balanced by responsibility
Professional educational opportunities
German language courses and public transport included
Experience Requirements:
Expertise across disciplines suitable for machine learning and data science software products
Other Requirements:
Acceptance of unsolicited applications if experiences do not perfectly align
Responsibilities:
Developing artificial intelligence software for process optimization in steel mills
Applying machine learning (image/signal processing, supervised/unsupervised modeling)
Helping to further develop industry leading solutions across disciplines
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Software Engineer (all genders)
Build adaptive AI agent memory and reliable knowledge graphs that learn from feedback to replace standard RAG with high-accuracy, reasoning-driven retrieval.
Benefits:
Unlimited contract with 28 vacation days
Flexible, hybrid work and flex hours
Work from abroad for up to 40 days per year
Virtual Shares Program
Company pension scheme
Experience Requirements:
Practical experience in modern software development (infrastructure, observability, testing)
Supported large-scale user-facing software systems in cloud environments
Experience with Kotlin / SpringBoot, Typescript / React, Kubernetes, PostgreSQL
Knowledge of monitoring and alerting practices for production systems
Other Requirements:
Willingness to travel to construction sites in the DACH region whenever needed
Responsibilities:
Designing, building, testing and operating software solutions for building construction use cases
Working alongside R&D department on an autonomous construction initiative
Managing complex software deployments
Acting as a bridge between digital product delivery and physical construction activities
Bringing a Site Reliability Engineering (SRE) mindset to improve software uptime
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Principal Engineer
Build adaptive AI agent memory and reliable knowledge graphs that learn from feedback to replace standard RAG with high-accuracy, reasoning-driven retrieval.
Benefits:
Up to 150 000 EUR + Equity
Company sponsored meals
Trips to San Francisco
Fetch breaks with the office dog
Experience Requirements:
Principal-level ownership of a high-adoption SDK / developer platform / core library
Deep Python skills (packaging, typing, testing, performance, clean APIs)
Experience with production systems
Hands-on experience with LLMs
Other Requirements:
Strong taste for DX and high standards for stability and maintainability
Bonus: open-source leadership, agent/memory/retrieval systems experience
Responsibilities:
SDK architecture, API design, and roadmap
Release engineering: versioning, compatibility, CI/CD, testing, benchmarks
Performance, reliability, observability, and production readiness
Developer experience: docs, examples, reference implementations
Open-source stewardship
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Senior Product Engineer, AI
Resolve complex customer queries instantly and automate support workflows using an AI-first platform designed for startups and global enterprises alike.
Benefits:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
MacBooks standard
Education Requirements:
BSc in Computer Science, Maths or Statistics or related discipline
Experience Requirements:
5+ years of experience shipping high-quality products
Previous experience in data analytics or statistical role (bonus)
Other Requirements:
Deep knowledge of a high-level programming language
Bias towards progress over perfection
Strong willingness to fight for good outcomes
Responsibilities:
Build the systems that power flagship AI products
Bring proof-of-concept code to production
Partner with product teams to shape AI experiences
Contribute to all phases of software development
Hiring, mentoring, and career development
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Senior Machine Learning Scientist
Resolve complex customer queries instantly and automate support workflows using an AI-first platform designed for startups and global enterprises alike.
Benefits:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Generous family leave (maternity, paternity)
Hybrid working
Education Requirements:
Typically have advanced education in ML or related field (e.g. MSc)
PhD or other experience in a research environment
Experience Requirements:
3-5 years applied ML experience
Track record shipping ML products
Other Requirements:
Broad applied machine learning knowledge
Practical stats knowledge
Intermediate programming skills
Strong communication skills
Comfort with ambiguity
Responsibilities:
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems
Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research
Research and identify the right algorithms and tools
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Senior Product Engineer, AI Platform
Resolve complex customer queries instantly and automate support workflows using an AI-first platform designed for startups and global enterprises alike.
Benefits:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
Fun events for Intercomrades
Experience Requirements:
5+ years of experience shipping high-quality products
1+ year of experience building ML-powered products (bonus)
Other Requirements:
Deep knowledge of high-level programming language (Python, Ruby etc.)
Ability to deep dive into any part of the tech stack
Bias towards progress over perfection
Excited about progress in the AI space
Responsibilities:
Build the systems that power flagship AI products
Bring proof-of-concept code to production
Partner with ML engineers and scientists to build platforms
Contribute to all phases of software development
Hiring, mentoring, and career development
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Senior Machine Learning Engineer (Computer Vision)
Generate centimeter-accurate 3D building measurements 90% faster than manual methods using AI-powered drone analysis for solar, roofing, and construction firms.
Benefits:
Opportunity to lead the AI roadmap
Collaborative and pragmatic engineering culture
Direct collaboration with the CTO
Flexible hybrid setup
Experience Requirements:
5+ years of experience in applied Machine Learning
3+ years in computer vision
Other Requirements:
Experience with PyTorch, TensorFlow, OpenCV, and Python
Understanding of CNNs and vision transformers
Experience with training pipelines and hyperparameter optimization
Familiarity with model deployment (FastAPI, TorchServe, etc.)
Experience with GCP and Docker
Responsibilities:
Lead model development for computer vision and 3D tasks
Evaluate and integrate pre-trained models
Train and fine-tune models on in-house datasets
Deploy models to production
Maintain and monitor production models
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Senior Delivery Manager (m/w/d)
Unify fragmented engineering data into living Product Twins to accelerate innovation, reduce costs, and gain system-level understanding across mechatronic lifecycles.
Benefits:
Competitive Pay & Equity (Share Options & Bonuses)
30 vacation days & company shutdown
Hybrid Work & MacBook (€500 remote budget)
Green Mobility Perks (Deutschlandticket & bike leasing)
Fitness & Wellness via Urban Sports Club
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Forward Deployed Engineer (f/m/d)
Unify fragmented engineering data into living Product Twins to accelerate innovation, reduce costs, and gain system-level understanding across mechatronic lifecycles.
Benefits:
Competitive Pay & Equity (Share Options & Bonuses)
30 vacation days & company shutdown
Hybrid Work & MacBook (€500 remote budget)
Green Mobility Perks (Deutschlandticket & bike leasing)
Fitness & Wellness via Urban Sports Club
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Head of Revenue & GTM Operations (f/m/d)
Unify fragmented engineering data into living Product Twins to accelerate innovation, reduce costs, and gain system-level understanding across mechatronic lifecycles.
Benefits:
Competitive Pay & Equity (Share Options & Bonuses)
30 vacation days & company shutdown
Hybrid Work & MacBook (€500 remote budget)
Green Mobility Perks (Deutschlandticket & bike leasing)
Fitness & Wellness via Urban Sports Club
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Account Executive, B2B AI-SaaS, net-new
Protect identities in public video data using generative AI that preserves data utility for analytics while ensuring compliance with GDPR and CCPA standards.
Benefits:
Friendly cooperation at eye level
Flexible working hours
Public transport ticket with a 50% subsidy
Discount on Urban Sports Club memberships
Generous learning budget
Experience Requirements:
5+ years of quota-carrying B2B software sales experience
Strong track record of winning net-new enterprise logos
Experience managing complex, long sales cycles (6 to 12 months)
Experience selling into multi-stakeholder environments
Strong understanding of enterprise sales methodologies (MEDDPICC, Miller Heiman, etc.)
Other Requirements:
Fluency in spoken and written English
Fluent French would be a strong plus
Highly structured, disciplined pipeline management
A passion for technology and data protection
Experience selling into regulated industries (automotive, public sector, etc.)
Responsibilities:
Drive net-new logo acquisition across enterprise accounts globally through a consultative, value-driven sales approach
Build a strong pipeline through strategic outbound and targeted account planning
Engage C-level stakeholders, data protection, and product teams to identify key contacts
Navigate complex buying committees and multi-layered approval processes
Collaborate closely with our VP of Sales and internal experts on the sales, product and marketing teams
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Strategic Account Executive / Strategic Client Advisor
Achieve over 90% straight-through processing for complex financial documents with AI agents designed to automate accounts payable and procurement workflows.
Benefits:
Unlimited vacation days
Professional development activities
Meal allowance
Sporting activities
Free beers
Experience Requirements:
Expertise in Finance and Accounts Payable processes
Track record in Finance process optimization
Consultancy experience (Big4 or Next10)
Experience in enterprise SaaS sales at the C-level
Experience working with consulting firm partners
Other Requirements:
Growth-oriented mindset
Consultative selling approach
Responsibilities:
Oversee strategic accounts in EMEA/DACH
Engage with C-level executives
Achieve individual revenue targets
Foster collaborations with partners (Big4, GSIs)
Coordinate with virtual cross-functional teams
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Senior Specialist Internal Control & Audit
Stay ahead of the rapid AI curve with daily news, implementation guides, and expert-led workshops designed for professionals seeking to master the future of work.
Benefits:
Virtual Shares
30 days of annual leave
Mental health resources
Hack Fridays
Flexible working hours
Education Requirements:
Degree in Business Administration or similar, specialising in finance
Experience Requirements:
Professional experience in Internal Controls or Internal Audit
Knowledge of accounting (IFRS)
Experience with SOx compliance software or GRC tools
Other Requirements:
CIA or CA preferred
Initiative and hands-on mentality
Responsibilities:
Build up the SOX programme
Execute risk-based internal audits
Perform financial statement reviews
Lead and document process walkthroughs
Conduct risk assessments over business processes
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Commercial Account Executive | Poland (based in Germany)
Stay ahead of the rapid AI curve with daily news, implementation guides, and expert-led workshops designed for professionals seeking to master the future of work.
Benefits:
30 days of annual leave
Monthly full-day hacking sessions
Regular in-person team events
Mental health resources
Flexible working hours
Experience Requirements:
Proven full-cycle sales experience
Expertise in software sales - especially SaaS preferred
Other Requirements:
Native Polish speaker
Fluency in English and German
Entrepreneurial mindset
Responsibilities:
Pioneer Polish market expansion
Drive business development
Qualify and convert leads
Achieve and exceed revenue targets
Manage entire sales cycle
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Forward Deployed Engineer (Infrastructure)
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Experience Requirements:
7+ years across SRE/Platform/Solutions/FDE
Hands on experience in Python programming
Strong with Kubernetes, containers, and IaC (Terraform/Helm)
Experience with observability stacks (Prometheus/Grafana)
Enterprise integration experience (SSO, secrets, compliance)
Other Requirements:
Resident of the European Union with an EU Passport
Confident communicator with execs and engineers
Willingness to be part of an on-call rotation
German language skills (Nice to have)
Responsibilities:
Own technical outcomes from POC to production (integrations, infra-as-code)
Produce reference architectures and reusable templates
Define SLOs and implement end-to-end observability
Lead L3 incident response and RCAs
Train customer teams on operations and emergency procedures
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