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
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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Account Executive, Small Business Accounts
Align strategy with execution using AI-powered insights, resource optimization, and financial tracking for enterprise project and portfolio management teams.
Benefits:
comprehensive health, dental, and vision benefits
Employer RRSP and 401K matching programs
regular health and team challenges
additional insurance options
Experience Requirements:
Experience selling SaaS or Microsoft ecosystem solutions into large enterprise accounts
Comfort managing long, complex sales cycles with multiple stakeholders
Familiarity with sales methodologies such as MEDDPICC, Challenger, or Sandler
Experience partnering with Solution Consultants or presales teams to shape deals
Experience selling PPM, work management, or planning software
Other Requirements:
Consultative approach that builds trust
Confidence engaging C-suite and senior leaders on strategic business outcomes
Strong ownership mindset with steady communication and follow through
Understanding of Microsoft’s co-sell programs and partner ecosystem
Comfort configuring product scenarios or hands-on demos
Responsibilities:
Manage the full sales cycle from prospecting to close for enterprise accounts
Work directly with C-suite and senior leaders to understand goals
Deliver tailored demos and lead technical discovery
Create territory plans and account strategies
Maintain accurate pipeline and forecasts in Salesforce
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Team Lead Data Scientist
Connect with a global community of data scientists to master machine learning through specialized tracks, competitive hackathons, and industry-led hubs.
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AI Solutions Engineer
Build, deploy, and scale sovereign AI workflows with a multi-modal platform that keeps data under your control. Ideal for enterprise teams needing GDPR compliance.
Benefits:
Competitive salary and benefits
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling
Sustainable pace, flexible hours
Office in Belgium with flexibility
Experience Requirements:
Strong technical background with hands-on AI/ML experience
Experience building and deploying AI solutions in production
Other Requirements:
Comfortable with Python and common ML frameworks
Self-directed with ability to manage multiple customer engagements
Fluent in English; Dutch, French, or German is a plus
Experience in customer-facing technical roles
Background in computer vision, NLP, or structured data ML
Responsibilities:
Work with customers to understand their business challenges
Build proof-of-concept implementations to demonstrate platform capabilities
Deliver compelling demos and technical presentations to stakeholders
Guide customers through solution architecture and implementation planning
Collaborate with product and engineering on feature requirements
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Software Solutions Engineer
Build, deploy, and scale sovereign AI workflows with a multi-modal platform that keeps data under your control. Ideal for enterprise teams needing GDPR compliance.
Benefits:
Competitive salary and benefits
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling
Sustainable pace, flexible hours
Office in Belgium with flexibility
Experience Requirements:
4+ years of professional software development experience
Strong full-stack skills (backend and frontend)
Experience with Python, TypeScript/JavaScript, and modern frameworks
Other Requirements:
Problem-solving mindset with attention to detail
Fluent in English; Dutch, French, or German is a plus
Experience in consulting or professional services
Background in AI/ML systems and workflows
Familiarity with Docker, Kubernetes, and cloud platforms
Responsibilities:
Engage with customers to understand requirements and scope solutions
Design and implement custom software solutions on top of our platform
Build proof-of-concepts that evolve into production systems
Handle full-stack development from backend services to frontend interfaces
Deploy and support solutions in customer environments
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Mobile Software Engineer
Build, deploy, and scale sovereign AI workflows with a multi-modal platform that keeps data under your control. Ideal for enterprise teams needing GDPR compliance.
Benefits:
Competitive salary and benefits
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling
Sustainable pace, flexible hours
Office in Belgium with flexibility
Experience Requirements:
3+ years of mobile development experience (iOS, Android, or both)
Experience with Swift/SwiftUI, Kotlin, or cross-platform frameworks
Experience with REST APIs and offline-first architectures
Other Requirements:
Strong understanding of mobile UI/UX best practices
Passion for crafting polished user experiences
Experience with Core ML, ML Kit, or TensorFlow Lite
Background in computer vision or image processing
Experience with camera APIs and image manipulation
Responsibilities:
Develop and maintain our iOS and Android applications
Own architecture decisions and technical direction for mobile
Create intuitive interfaces for complex AI interactions
Implement on-device ML inference for privacy-preserving AI
Optimize app performance for image capture and real-time feedback
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Platform Software Developer
Build, deploy, and scale sovereign AI workflows with a multi-modal platform that keeps data under your control. Ideal for enterprise teams needing GDPR compliance.
Benefits:
Competitive salary and benefits
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling
Sustainable pace, flexible hours
Office in Belgium with flexibility
Experience Requirements:
3+ years of professional backend development experience
Strong Python skills (FastAPI, Django, or similar)
Experience with relational databases (PostgreSQL preferred)
Familiarity with Docker and container orchestration
Other Requirements:
Understanding of REST API design and best practices
Experience with version control (Git) and CI/CD
Experience with Kubernetes and cloud infrastructure
Background in multi-tenant SaaS applications
Experience with event-driven architectures
Responsibilities:
Design and build backend services and REST/GraphQL APIs
Develop and maintain our platform infrastructure
Implement authentication, authorization, and multi-tenancy
Build data pipelines and integrations with external systems
Optimize database schemas and query performance
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AI Engineer
Build, deploy, and scale sovereign AI workflows with a multi-modal platform that keeps data under your control. Ideal for enterprise teams needing GDPR compliance.
Benefits:
Competitive salary and benefits
Learning budget for conferences, courses, and books
Sovereign machines, broad tooling
Sustainable pace, flexible hours
Office in Belgium with flexibility
Experience Requirements:
3+ years of experience in machine learning engineering
Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow)
Experience with MLOps—model versioning, experiment tracking, deployment
Understanding of LLMs, RAG, and modern NLP techniques
Other Requirements:
Familiarity with Docker, Kubernetes, and cloud infrastructure
Experience with edge deployment (ONNX, TensorRT, Core ML)
Background in computer vision or structured data ML
Contributions to open-source ML projects
Experience with privacy-preserving ML techniques
Responsibilities:
Design and implement ML pipelines for training, evaluation, and deployment
Optimize model inference for cloud, edge, and on-premise environments
Develop and maintain model serving infrastructure
Build RAG pipelines and LLM-based applications
Implement techniques for privacy-preserving ML
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Backend Software Engineer Mid-level (Security Scanners)
Maximize marketing ROI and automate complex media planning across digital and traditional channels using a data-rich AI platform with 60 million user profiles.
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C/C++ developer
Maximize marketing ROI and automate complex media planning across digital and traditional channels using a data-rich AI platform with 60 million user profiles.
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Full-Stack Engineer
Achieve higher confidence in safety-critical applications by integrating data and automating processes with a governance-first AI platform for better decisions.
Benefits:
Leading equity-weighted total compensation
Competitive salaries and tax-advantaged options
Employer pension contributions
At least 30 days holiday annually
Twice-yearly in-person team retreats around the world
Experience Requirements:
Expert-level proficiency in TypeScript and React
Experience working with Effect and HTML Canvas
Familiarity using and customizing component libraries such as Material UI, Base UI or Ariakit
Working with type-safe styling systems like Panda
Experience with Rust is nice-to-have but not required
Other Requirements:
Interest in not only moving fast, but also in building performant solutions
Comfortable optimizing data structures and storage systems
Interested in pushing front-end web frameworks to their limits
Responsibilities:
Implement the majority of HASH's user-facing features
Write code on the frontend and backend
Ensure HASH responds to user needs and ships new functionality fast
Design modular components supporting use in third-party applications
Collaborate with UX/UI designers and company leadership
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Engagement Manager, AI Solutions
Build production-ready AI models faster by replacing manual labeling with programmatic data development, dataset curation, and automated evaluation workflows.
Benefits:
Career growth and learning support
Meaningful opportunities to shape priorities
Influence key strategic decisions
Reasonable accommodation
High-growth work environment
Education Requirements:
Advanced degree preferred (MBA or Master’s in computer science, applied statistics, mathematics, or related field)
Experience Requirements:
5+ years in a technical, client-facing role (e.g., management consulting, professional services, or customer success)
Strong background in project delivery and collaborative problem-solving
Experience with AI/ML initiatives or involving standard AI technologies
Proven ability to understand client objectives and design solutions
Track record of overseeing a portfolio of engagements
Other Requirements:
Willingness to travel up to 25%
Excellent communication and presentation skills
Ability to translate complex technical concepts for broad audiences
Responsibilities:
Collaborate with data science and engineering teams to shape AI/ML use cases
Lead the end-to-end delivery of enterprise AI projects
Manage comprehensive project plans and related artifacts
Identify expansion opportunities through adjacent use cases and new stakeholders
Serve as the primary interface between client C-suite and Snorkel’s technical teams
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Machine Learning Engineer
Optimize business workflows and uncover hidden data insights with custom-built AI solutions, machine learning models, and automated agents for various industries.
Benefits:
Cafeteria system
Clear terms
Flexible hours
Free drinks and snacks
Private health care
Education Requirements:
Master's degree in Computer Science, Mathematics, Physics, or a related field
Experience Requirements:
At least 2 years of experience in deploying ML models in production environments
Proficiency in Python and ML stack of choice
Experience working with cloud platforms like AWS
Experience with orchestration tools such as Docker and Kubernetes
Experience in mentoring or guiding junior team members
Other Requirements:
English - at least C1 proficiency
AWS Certification
Knowledge of cloud-based data engineering solutions
Domain expertise in industries like edtech, pharma, or fintech
Experience with deep learning frameworks like Pytorch or TensorFlow
Responsibilities:
Drive value-focused AI projects
Shape the evolving tech stack
Create optimized processes for implementing ML models
Monitor ML models in a production environment
Mentor and guide junior team members
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DevOps Engineer
Stop financial crime and automate risk decisioning with real-time fraud prevention, behavioral biometrics, and AI agents designed for banks and fintech teams.
Benefits:
Generous compensation in cash and equity
Early exercise for all options
Flexible paid time off and Year-end break
Health insurance, dental, and vision
4% matching in 401k / RRSP
Experience Requirements:
6+ years of experience in DevOps, SRE, or software engineering roles
Other Requirements:
Proficiency in Python or Go
Experience with Kubernetes, ArgoCD, Helm, and Terraform
Familiarity with GCP
Hands-on experience with observability tools like Prometheus or Datadog
Responsibilities:
Own and evolve DevOps and platform engineering function
Design and maintain secure, scalable CI/CD pipelines
Improve observability via Datadog, GCP, and custom dashboards
Implement and maintain FinOps governance
Enable developer productivity by creating internal tooling
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Go Backend Engineer
Stop financial crime and automate risk decisioning with real-time fraud prevention, behavioral biometrics, and AI agents designed for banks and fintech teams.
Benefits:
Generous compensation in cash and equity
Early exercise for all options
Work from anywhere: Remote-first Culture
Flexible paid time off
MacBook Pro
Experience Requirements:
2–3+ years of commercial backend development experience
Other Requirements:
Deep understanding of Go
Strong experience with various databases (SQL & NoSQL)
Hands-on experience with public clouds (AWS or GCP)
Experience building distributed systems
Responsibilities:
Design and implement high-performance microservices using Go
Analyze and improve efficiency of infrastructure
Define architectural patterns for database usage and API design
Work with Cloud environments for resilience and security
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Machine Learning Engineer
Stop financial crime and automate risk decisioning with real-time fraud prevention, behavioral biometrics, and AI agents designed for banks and fintech teams.
Benefits:
Generous compensation in cash and equity
Early exercise for all options
Flexible paid time off
Health insurance coverage
Annual health and wellness stipend
Education Requirements:
Bachelor's or Master's in Computer Science, Engineering, or a related discipline
Experience Requirements:
5+ years in software engineering
Backend experience in Go or Python
Hands-on experience with applied ML using large datasets
Other Requirements:
Strong SQL skills
Experience with feature pipelines and model deployment
Excellent communication skills in English
Responsibilities:
Build and optimize data pipelines and backend services
Develop and deploy ML models for fraud detection
Turn raw data into production-ready features
Collaborate with platform and backend engineers
Maintain high standards of security and compliance
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Software Engineer - Backend
Stop financial crime and automate risk decisioning with real-time fraud prevention, behavioral biometrics, and AI agents designed for banks and fintech teams.
Benefits:
Generous compensation in cash and equity
Early exercise for all options
Remote-first Culture
Monthly meal stipend
Annual Learning stipend
Experience Requirements:
5+ years of experience specializing in web backend development
Other Requirements:
Proficiency in Golang is a significant advantage
Experience in data engineering is highly desirable
Proficient in English
Responsibilities:
Design, create, and maintain robust backend services
Collaborate with stakeholders to architect new services
Contribute to technical roadmaps
Craft and maintain user-facing technical documentation
Shape company engineering culture
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Software Engineer - Backend (GO)
Stop financial crime and automate risk decisioning with real-time fraud prevention, behavioral biometrics, and AI agents designed for banks and fintech teams.
Benefits:
Generous compensation in cash and equity
Flexible paid time off
4% matching in 401k / RRSP
Home office stipend
Monthly social meet-up stipend
Experience Requirements:
2–3+ years of commercial backend development experience
Other Requirements:
Deep understanding of Go
Experience with SQL & NoSQL databases
Foundational knowledge of Networking and Kubernetes
Responsibilities:
Design and implement high-performance microservices
Optimize core infrastructure efficiency
Define architectural standards
Automate platform resilience using IaC
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Staff Backend Engineer
Stop financial crime and automate risk decisioning with real-time fraud prevention, behavioral biometrics, and AI agents designed for banks and fintech teams.
Benefits:
Generous compensation in cash and equity
Early exercise for all options
Remote-first Culture
Health, dental, and vision insurance
4% matching in 401k / RRSP
Experience Requirements:
Minimum of 7 years of proven experience as a Software Engineer
Other Requirements:
Proficiency in Golang is a significant advantage
Track record of high-throughput data processing
Proficient in English
Responsibilities:
Own and lead development of compliance platform
Design systems for KYC, sanctions, and transaction monitoring
Build and optimize case management pipelines
Develop integrations with regulatory reporting systems
Mentor engineers and drive technical strategy
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