AI Jobs

Benefits:

• Hybrid flexibility

• Lead complex AI implementation projects

• Exposure to enterprise clients

• Predictable delivery ownership

• Support AI agent integration

Experience Requirements:

• Experience managing AI, cloud, or digital transformation projects

• Understanding of Azure, Power Platform, and Copilot

• Experience with agentic development workflows

• Knowledge of delivery governance

Other Requirements:

• Clear communication skills

• Structured planning ability

• Risk management skills

Responsibilities:

• Plan and manage project delivery across regions

• Coordinate low code and pro code teams

• Maintain timelines and budgets

• Enforce delivery governance and standards

• Support customer adoption and change management

Benefits:

• Join international talent pool

• Flexible hybrid model

• Human centric approach to AI

• Early access to new vacancies

• Exposure to fast growing AI company

Experience Requirements:

• Relevant experience in tech or marketing related areas

Other Requirements:

• Passionate about AI

Responsibilities:

• Submit profile for talent pool review

• Maintain active details in the recruitment system

Benefits:

• Stand-alone role with growth potential

• Hybrid working flexibility

• Shape brand identity in AI

• Dynamic startup environment

• Direct alignment with strategy teams

Experience Requirements:

• At least four years of experience in marketing

• Experience in tech, SaaS, or AI environments

• Excellent technical writing skills

• Knowledge of SEO and content strategy

• Social media management experience

Other Requirements:

• Strong knowledge of AI concepts

• Interest in emerging technologies

Responsibilities:

• Take full ownership of the marketing function

• Shape the brand and thought leadership

• Produce LinkedIn posts, case studies, and blogs

• Manage SEO and social media strategy

• Execute webinars and support events

Benefits:

• Flexible hybrid model

• Twice per week in office

• Collaborative stream environment

• Focus on agentic workflows

• Cutting-edge AI application building

Experience Requirements:

• Hands-on experience with Power Apps and Power Automate

• Experience with Dataverse and Copilot Studio

• Ability to translate business needs into solutions

• Familiarity with APIs and Azure services

• Knowledge of ALM practices

Other Requirements:

• Curiosity for AI concepts like RAG and prompt engineering

Responsibilities:

• Design Power Apps and automated workflows

• Build agents in Copilot Studio

• Develop M365 Copilot Extensions

• Contribute to accelerators and reusable components

• Deliver high quality solutions for clients

Benefits:

• Hybrid flexibility

• Lead a world class engineering organization

• Fast growing AI environment

• International project management

• Shape technical strategy

Experience Requirements:

• Senior engineering leadership experience

• Deep knowledge of Azure architecture

• Experience with AI engineering and Microsoft technologies

• Track record of delivering complex solutions at scale

Other Requirements:

• Strong architectural mindset

• Ability to build and mentor high performing teams

Responsibilities:

• Lead low code and pro code engineering streams

• Set technical direction for all solutions

• Own solution architecture across the company

• Ensure DevOps excellence

• Build accelerators and reusable frameworks

Benefits:

• Flexible hybrid model

• Two days in office per week

• International collaboration

• Mentoring opportunities

• Access to emerging AI technologies

Experience Requirements:

• At least three years of experience delivering Microsoft based projects

• Strong communication skills

• Expertise in Copilot and Copilot Studio

• Knowledge of M365 and Power Platform

Other Requirements:

• Relevant certifications

Responsibilities:

• Lead delivery of AI and Microsoft technology projects

• Design and architect solutions

• Guide clients from scoping to implementation

• Deliver workshops and advanced training

• Translate business needs into practical solutions

Benefits:

• Flexible hybrid working model

• In-office twice per week

• Work across Microsoft AI stack

• International team environment

• Collaborative culture

Experience Requirements:

• Strong hands-on experience with Azure AI services

• Experience in cloud engineering

• Programming in Python, TypeScript or C Sharp

• Understanding of microservices and RAG patterns

• API design and CI/CD

Other Requirements:

• Passion for AI engineering

• Problem solving skills

• Continuous learning mindset

Responsibilities:

• Design and build advanced AI agents

• Develop cloud native services and retrieval pipelines

• Build vector based search systems

• Create custom copilots using Azure AI Foundry

• Collaborate with low code teams

Benefits:

• Competitive pay and equity

• Flexible remote-friendly hours

• Weekly Free lunch noodles

• Weekly gaming and pizza sessions

• Quarterly hackathons

Education Requirements:

• B.S. in Computer Science or equivalent AI-related field experience

Experience Requirements:

• Python Proficiency (Pandas, NumPy, TensorFlow, PyTorch)

• Proven track record in LLM finetuning

• Full-Stack Understanding

• Proven Portfolio of AI-driven products

Other Requirements:

• Growth Mindset

• Ownership Over Impact

• Collaborative Communication

• Bias for Action

• Pragmatic Problem Solver

Responsibilities:

• Integrate AI for immediate, demonstrable client benefits

• Optimize language models (LLM Finetuning)

• Ensure seamless interaction between language models and existing systems

• Analyze evolving business needs and identify new AI-driven features

• Analyze dashboards and customer interactions to improve AI performance

Benefits:

• Above market standard internship pay

• Potential to stay on after graduation

• MacBook and full tool setup

• Fresh lunch and great coffee in office

• Quarterly team events

Education Requirements:

• Potential to stay on after graduation implies current student status

Experience Requirements:

• No expert status required; curious and driven

• Commercially curious with market research interest

• Comfortable using AI tools like ChatGPT and Claude

• Structured and organized approach to tasks

• Product-minded builder mentality

Other Requirements:

• AI-first mindset

• People person with good conversation skills

• Fast learner eager to understand hospitality tech

• Proactive problem solver

Responsibilities:

• Support lead generation and research

• Execute outbound outreach (email, WhatsApp, LinkedIn, phone)

• Track engaged prospects and keep pipeline moving

• Surface commercial insights for product teams

• Implement AI tools to automate workflows

Benefits:

• €70K OTE with uncapped commission

• Employee Stock Option Plan (ESOP)

• MacBook and full sales tool setup

• Amsterdam office with strong team culture

• Quarterly team events and wins

Experience Requirements:

• 2–3+ years in B2B SaaS sales

• Full-cycle sales experience (qualify, pitch, negotiate, close)

• Hospitality mindset understanding restaurant operators

• Structured pipeline management in HubSpot

• Experience with tools like Apollo and Instantly

Other Requirements:

• Fluent Dutch and English

• German or French is a plus

• AI-first mindset

• Competitive and resilient

Responsibilities:

• Convert inbound leads fast

• Build outbound pipeline via multi-channel campaigns

• Own the full sales cycle from contact to signature

• Run strong demos using live tests and real scenarios

• Negotiate and close monthly and annual contracts

Benefits:

• Above market standard internship pay

• Potential to stay on after graduation

• MacBook and full tool setup

• Fresh lunch and great coffee in office

• Quarterly team events

Education Requirements:

• Potential to stay on after graduation implies current student status

Experience Requirements:

• No expert status required; curious and empathetic

• Technically curious regarding product quirks

• Comfortable using AI tools like ChatGPT and Claude

• Structured and organized approach

• Product-minded builder mentality

Other Requirements:

• AI-first mindset

• People person focused on building relationships

• Troubleshooting skills

• Fast learner

Responsibilities:

• Support customer onboarding

• First point of contact for troubleshooting and guidance

• Track incoming issues and resolve quickly

• Spot bugs and track patterns for engineering

• Support self-serve rollout and build knowledge bases

Benefits:

• Training and knowledge-sharing sessions

• Conference attendance and networking

• Opportunity to give talks and submit papers

• Annual in-person team meetings with families

• Extreme company transparency

Education Requirements:

• BS, MS, PhD in quantitative field, such as Physics, Mathematics, Statistics, Engineering, or equivalent practical experience.

Experience Requirements:

• Experience with some form of Deep Learning (e.g. Image recognition, or NLP)

• Experience with programming in Python

• Experience with Reinforcement Learning (bonus)

• Work experience in Wind Energy or Smart Manufacturing fields (bonus)

Other Requirements:

• Good knowledge of statistics, data analysis, and modelling methods

• Problem solving skills for formulating problems from new datasets

• Good written and verbal communication

• Ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

Responsibilities:

• Support deployment of products for customers

• Internal product strengthening

• Initial data exploration and modelling

• Reinforcement Learning training

• Collaborate with backend, product, and AI teams

Benefits:

• Training and knowledge-sharing sessions

• Conference attendance and networking

• Annual in-person team meetings with families

• Extreme company transparency

• Supportive engineering environment

Education Requirements:

• BS, MS, in Computer Science or a related field, or equivalent practical experience.

Experience Requirements:

• Experience with public cloud providers (e.g. Azure, GCP, or AWS)

• Strong programming background with extensive experience in Python

• Experience in building scalable and fault-tolerant distributed systems

• Experience with software like Apache Airflow, Kubeflow, MLflow (bonus)

• Experience building machine learning training pipelines (bonus)

Other Requirements:

• Knowledge of Docker, Kubernetes, Terraform, and cloud-native technologies

• Excellent debugging skills of distributed systems software

• Familiarity with software engineering best practices

• Good written and verbal communication

• Ability to work remotely with cross-cultural teams

Responsibilities:

• Design, develop and support Deepsim reinforcement learning platform

• Make platform scalable, robust, and deployable

• Support diverse deployment and MLOps requirements

• Collaborate with data science and AI teams

• Ensure data processing and model serving needs are met

Benefits:

• Training and knowledge-sharing sessions

• Conference attendance and networking

• Annual in-person team meetings with families

• Extreme company transparency

• Supportive engineering environment

Education Requirements:

• BS, MS, in Computer Science or a related field, or equivalent practical experience.

Experience Requirements:

• Deep experience with Python programming

• Experience designing and developing backend (REST API) via FastAPI

• Experience with databases like Postgres, MySQL, MongoDB, SQLAlchemy

• Experience in building scalable and fault-tolerant distributed systems

• Experience with developing front-end solutions (bonus)

Other Requirements:

• Solutions containing logging, monitoring and security best practices

• Excellent debugging skills

• Familiarity with software engineering best practices

• Good written and verbal communication

• Ability to work with minimal to no supervision

Responsibilities:

• Design, develop and support server components of Deepsim

• Make platform more accessible and composable

• Collaborate with infrastructure, data science and AI teams

• Handle data processing and inspection of results

• Support training of neural networks and model serving

Benefits:

• Pleasant, inclusive, and creative workplace

• Career opportunities for development

• Professional freedom

• Modern office in Amsterdam

• Personal Development Hours (6 hours)

Experience Requirements:

• At least 3 years of experience in B2B sales within the SaaS industry

Other Requirements:

• Fluent Dutch and good English

• Experience in outbound sales

• Ability to work independently in a fast-paced environment

Responsibilities:

• Work with potential customers in the enterprise segment

• Schedule and conduct meetings with support managers and IT directors

• Build and manage a sales pipeline

• Lead the entire sales process from prospecting to contract negotiations

Benefits:

• Pleasant, inclusive, and creative workplace

• Career opportunities for development

• Large degree of professional freedom

• Modern office situated in Amsterdam

• Personal Development Hours (6 hours)

Experience Requirements:

• Familiar with outbound prospecting via email and phone

Other Requirements:

• Fluent in Dutch and English

• Ambitious to meet and exceed targets

• Positive attitude and curious mindset

Responsibilities:

• Manage, nurture, and grow pipeline via prospecting

• Maintain minimum call and email volume

• Proactively seek new business opportunities in the Dutch market

• Track and report daily activities using HubSpot and Salesloft

• Partner with Account Executives

Benefits:

• Generous remuneration and stock units

• Education allowance up to €4,250 per annum

• Pension

• Health Insurance

• Life Assurance

Experience Requirements:

• 4+ years of Closing Sales experience

• Consultative selling and closing skills

• Accurate forecasting and pipeline management

• Track record of high performance

• Experience in high-growth 'scale up' environment

Other Requirements:

• Fluency in English & Dutch

• Strong communication and time management

• Humility and enthusiasm

Responsibilities:

• Develop territory business plan

• Find new prospects from inbound/self-sourced leads

• Run qualification calls with C-level executives

• Close new business and install base at/above quota

• Sell full growth platform (Enterprise license)

Benefits:

• Universal, supplemental, and private healthcare plan choices

• Retirement/pension plan contributions

• MTK stock plan participation

• Generous annual leave and company holidays

• Home office setup allowance

Experience Requirements:

• Strong IT literacy

• Strong accurate typing abilities

• Clean criminal record (DBS check) and clean credit record

• Eligible to work in the Netherlands

• Three references (employment or academic)

Other Requirements:

• Work virtually from home office

• Flexibility for rotating shifts, weekends, and holidays

• Effective communicator

• Calm and composed under pressure

• Punctual and reliable

Responsibilities:

• Review identity documents for administrative and legal accuracy

• Quality-assess images captured by the customer

• Assess whether the document is authentic/fraudulent

• Check accuracy of information already in the system

• Extract document data and input into the system

Benefits:

• pension plan

• extensive employee insurances

• option to get company shares

Experience Requirements:

• 10+ years of experience in Physical Design (RTL to GDS)

Other Requirements:

• Primetime

• StarRC

• Genus

• Innovus

• Design Compiler

Responsibilities:

• Perform synthesis, floorplanning, place and route

• Constraint generation, timing analysis and optimization

• Execute clock tree synthesis (CTS)

• Integrate IPs including memories, I/Os, and processors

• Develop automation scripts in Python, Tcl, Bash

Benefits:

• pension plan

• extensive employee insurances

• option to get company shares

Education Requirements:

• Master’s or Ph.D. degree in Computer Science, Electrical Engineering

Experience Requirements:

• Experience in software development

• Experience in hardware development

Other Requirements:

• Python

• Neural Networks

• Networking protocols (RoCE, Infiniband)

Responsibilities:

• Design, Architecture and implementation of next-gen AI Accelerators

• Build architectural models and validate performance

• Build advanced hardware prototypes

• Create detailed architectural specifications

• Define and perform rigorous performance evaluation tests