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Forward Deployed Engineer (Post-Sales, Remote OK)
Integrate with any app or website—even those behind logins—using AI-generated, officially maintained APIs that eliminate brittle web scraping and manual entry.
Experience Requirements:
Strong coding ability and comfort modifying production APIs
Experience with LLMs and AI tools and understanding their capabilities and limitations
Experience modifying production code including error handling and customer-facing error messages
Experience with platform behavior and observability
Experience with observability/logging and debugging production issues
Other Requirements:
Ability to handle post-sales customer requests including expansion requests and onboarding
Strong written communication skills (Slack-first) and high empathy
Comfort operating in ambiguous, high-velocity environments with frequent shipping
Ability and desire to build automation/self-service layers into your day-to-day work
Forward Thinking Builder who invests in product/workflows to reduce repetitive work
Responsibilities:
Deliver an exceptional post-sales experience by proactively monitoring API usage and platform behavior
Identify and fix reliability issues before customers report them
Turn repeated support patterns into core product features and self-serve workflows
Expand the relationship with customers by providing an extremely high level of service
Build a scalable system for capturing feedback, shipping fixes, and deploying improvements
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DevOps On-Prem Deployment Specialist
Protect regulated data and detect deepfakes with on-premise Small Language Models designed for healthcare, finance, and defense organizations seeking zero-trust security.
Experience Requirements:
At least 3 years of overall DevOps experience
2+ years with GCP, Microsoft Azure, or AWS
2+ years with Docker in production environments
2+ years of Linux system administration and shell scripting
2+ years deploying Python applications to production
Other Requirements:
Solid understanding of networking fundamentals and firewall configurations
2+ years working with Git
Independent problem-solving skills
Ability to research unfamiliar technologies and figure out how to make them work in production
Responsibilities:
Design and implement deployment pipelines for Python Ray projects across cloud and on-premises
Build and maintain infrastructure for local air-gapped and regulated deployments
Develop containerized solutions optimized for local deployment scenarios
Research and deploy confidential computing technologies
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Staff Frontend Engineer
Cut hiring costs and time-to-hire in half with an AI-native ATS that unifies candidate sourcing, automated scoring, and interview notetaking in one platform.
Benefits:
Mentorship to junior engineers
Culture of knowledge sharing
Opportunity to drive innovation
Experience Requirements:
10+ years of experience building complex web applications
Prior experience at a startup
Proven track record of delivering high-quality software
Other Requirements:
React
Component-driven architecture
SPA Frameworks
JavaScript & TypeScript
HTML, CSS, SASS
Performance optimization
Responsibilities:
Design and develop complex web applications
Collaborate with cross-functional teams
Stay up-to-date with latest trends
Participate in code reviews
Provide technical leadership and mentorship
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Backend Engineer
Cut hiring costs and time-to-hire in half with an AI-native ATS that unifies candidate sourcing, automated scoring, and interview notetaking in one platform.
Benefits:
Challenging, real-world problems
Supportive team
Lightweight processes
Room to grow into leadership
Education Requirements:
Bachelor’s degree in Computer Science or related discipline
Experience Requirements:
3–6 years of experience in backend or platform development
Proficiency in Ruby on Rails or Go
Understanding of API design and data modeling
Experience with MySQL and Redis
Comfortable with Docker and AWS
Other Requirements:
CI/CD pipelines
Testing
Application monitoring
Security best practices
Multi-tenant SaaS platforms
Responsibilities:
Develop, maintain, and optimize backend services and APIs
Design and implement scalable, cloud-ready systems
Collaborate with frontend and product engineers
Participate in code reviews
Help build CI/CD pipelines
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Front-End Developer
Accelerate machine learning development with high-quality, human-curated datasets across image, video, and speech for developers and enterprise AI teams.
Benefits:
Collaborative and innovative work environment
Opportunities for professional growth
Competitive salary and benefits package
Flexible work hours
Remote working options
Education Requirements:
Bachelor's degree in Computer Science or related field
Experience Requirements:
0-3 years of experience in front-end development
Other Requirements:
Proficiency in HTML, CSS, and JavaScript
Experience with React, Angular, or Vue.js
Familiarity with Git and version control
Understanding of SEO principles
Responsibilities:
Develop and maintain user-facing features
Ensure the technical feasibility of UI/UX designs
Optimize applications for speed and scalability
Collaborate with team members and stakeholders
Write reusable code and libraries for future use
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Full Stack Developer
Accelerate machine learning development with high-quality, human-curated datasets across image, video, and speech for developers and enterprise AI teams.
Benefits:
Competitive salary and benefits package
Opportunities for professional growth
Collaborative and inclusive work environment
Access to cutting-edge technologies
Remote work options
Education Requirements:
Bachelor's degree in Computer Science or related field
Experience Requirements:
0-2 years of experience in full stack developer
Other Requirements:
Proficiency in HTML, CSS, JavaScript
Strong understanding of Node.js, Python, or PHP
Experience with database technologies like MySQL or MongoDB
Knowledge of Agile development methodologies
Responsibilities:
Design, develop, and maintain web applications
Collaborate with cross-functional teams
Ensure the technical feasibility of UI/UX designs
Optimize applications for maximum speed
Write clean, maintainable, and efficient code
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Solutions Engineer
Protect players and ensure regulatory compliance with neuroscience-based AI that identifies harmful gambling behaviors across millions of active monthly users.
Benefits:
Competitive salary packaging based on your experience and qualifications
Lunch and an informal work environment with positive energy
A choice of equipment and a workspace centrally located in Aarhus
A flexible balance between working at the office and from home
A meaningful job with a high purpose
Education Requirements:
Bachelors or masters degree preferably within a technical field (e.g. Data science, Cognitive science or similar)
Experience Requirements:
2+ years professional experience in a data engineering role
Experience working with data and the data value chain (modelling, analyses, ETL)
Experience with Python and SQL
Other Requirements:
Self-driven and enjoy engaging in both academic and professional discussions
Excellent communication skills and fluency in English
Team player with a positive attitude
A knack for communicating technical topics clearly
Responsibilities:
Implement and onboard new customers by aligning data structures
Leading customers through the Tech sales funnel (demos, pilots, workshops)
Delivering on consultancy requests like UI optimisations or data cleanups
Optimising data pipelines and the data integration process
Developing and improving software solutions and UX designs
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Founding Engineer - Full Stack
Build, deploy, and optimize reliable AI agents visually with a managed middleware platform that integrates 300+ models and simplifies serverless edge deployment.
Benefits:
Work in a leading AI application development platform
Learning and mentorship from founders
Exposure to cutting-edge technologies
Fully Remote setup
Employee Stock Options ( ESOP )
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Applied AI Engineer
Build, deploy, and optimize reliable AI agents visually with a managed middleware platform that integrates 300+ models and simplifies serverless edge deployment.
Benefits:
Work in a leading AI application development platform
Learning and mentorship from founders
Exposure to cutting-edge technologies
Fully Remote setup
Employee Stock Options ( ESOP )
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Implementation Engineer
Access, validate, and deploy over 250 radiology AI applications through a single, FDA-cleared integration platform to enhance diagnostic accuracy and clinical ROI.
Experience Requirements:
3+ years of IT infrastructure experience working closely with cloud technologies
Other Requirements:
Working knowledge of Docker, Kubernetes, Terraform
Experience with monitoring frameworks like Prometheus, Elastic Stack, Grafana
CICD tools such as Jenkins
Knowledge of Go, Python, and/or Java
Experience with Git, BitBucket, Apache, Nginx
Responsibilities:
Implement scalable, secure, and high-availability infrastructure solutions on AWS
Develop and maintain CI/CD pipelines to accelerate application deployment
Utilize container technologies and orchestration tools like Kubernetes
Implement monitoring tools to proactively identify and resolve performance bottlenecks
Integrate security best practices into the DevOps processes
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SDE - 3
Access, validate, and deploy over 250 radiology AI applications through a single, FDA-cleared integration platform to enhance diagnostic accuracy and clinical ROI.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience
Experience Requirements:
7+ years of hands-on software development experience
Other Requirements:
Strong proficiency in Python and Java
Expertise in cloud platforms—especially AWS and GCP
Deep understanding of data structures, algorithms, and system design principles
Proficiency with relational and NoSQL databases
Familiarity with containerization (Docker) and orchestration (Kubernetes)
Responsibilities:
Design, develop, and deploy highly scalable, distributed backend systems
Drive technical design and architecture discussions for new features
Implement and optimize microservices and event-driven architectures
Ensure system reliability and performance through code optimization
Mentor junior and mid-level developers through code reviews
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QA Engineer
Access, validate, and deploy over 250 radiology AI applications through a single, FDA-cleared integration platform to enhance diagnostic accuracy and clinical ROI.
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field
Experience Requirements:
2+ years of experience in software quality assurance
Other Requirements:
Proficiency in automated testing tools (e.g., Selenium, Cucumber)
Experience with test management tools (e.g., JIRA)
Experience with programming languages (e.g., Python, JavaScript)
Experience with CI/CD tools (e.g., Jenkins, GitLab)
Strong analytical and problem-solving skills
Responsibilities:
Develop and execute detailed test plans, test cases, and test scripts
Perform functional, regression, performance, and usability testing
Identify, document, and track software defects
Automate test cases and improve test coverage
Conduct root cause analysis of issues
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Full Stack Engineer
Access, validate, and deploy over 250 radiology AI applications through a single, FDA-cleared integration platform to enhance diagnostic accuracy and clinical ROI.
Experience Requirements:
3+ years of experience in backend development with Python and Django
Other Requirements:
Experience working with RESTful APIs and GraphQL
Proficiency in ReactJS, Python, Golang, and Relational Databases
Basic knowledge of Docker, Kubernetes, and DevOps practices
Strong understanding of version control systems (Git, GitHub, or GitLab)
Responsibilities:
Building and maintaining components using ReactJS, Python, Golang, MySQL
Engage in both font end and back end development
Participate in DevOps practices including containerization with Docker
Design, implement, and manage APIs and database models
Write clean, scalable, and well-documented code
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Senior Full Stack Software Engineer
Unlock the value of your AI investments while managing risk with a centralized management system designed for health systems to measure ROI and ensure safety.
Education Requirements:
Bachelor's degree in Computer Science or equivalent practical experience.
Experience Requirements:
5+ years of software development experience.
2+ years of experience shipping user-facing products.
Hands-on experience with AI coding tools (e.g. Claude) and a strong willingness to integrate them into daily workflows.
Experience with TypeScript, React, Chart.js, Java 21, Spring Boot, Postgres, or any equivalent modern technologies.
Experience in startup environments and shipped products from 0 to 1.
Other Requirements:
Strong system design and software architecture skills.
Strong problem-solving skills and ability to work with ambiguity.
Passionate about great user experiences and data visualization.
Pragmatic mindset prioritizing speed and business impact.
Prior experience in working with AI and/or in healthcare.
Responsibilities:
Build and evolve the frontend and backend of the Signal 1 AI Management System.
Drive software architecture design and establish modern engineering practices that leverage AI-assisted development.
Break down ambiguous, high-level problems into concrete technical solutions and engineering plans.
Work autonomously and collaboratively with Product, Design, ML, Security, Infrastructure and other engineering teams.
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Front End Developer
Streamline global advertising operations and optimize campaign performance with agentic AI that automates media planning, buying, and real-time data analysis.
Benefits:
Diverse and inclusive workplace
Equal opportunity employer
Experience Requirements:
5+ years of mastery in React and modern JS stack
Other Requirements:
Deep expertise in TypeScript, React v19, React-Query, and TanStack Router
Experience building Micro frontends using NX and monorepos
Background in testing with Vitest and React-Testing-Library
Proficiency in English
Experience managing workflows in Jira
Responsibilities:
Developing new features and extending existing ones in React
Modernizing existing components according to new guidelines
Ensuring test coverage with Vitest
Contributing to feature discussions and product strategy
Implementing Figma mockups with precision
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Senior AI Engineer - Machine Learning (US)
Optimize high-volume manufacturing yields and process control by predicting outcomes with AI-driven virtual metrology and machine-generated data for fab scale.
Education Requirements:
BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field
MA/PhD
Experience Requirements:
6 years of experience (BS) or 4 years of experience (MA/PhD)
3+ years building production-ready ML infrastructure
Other Requirements:
Proficiency in one or more modern programming languages such as Python, C++, or Java
Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks
Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform
Responsibilities:
Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines
Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment
Own the end-to-end implementation of ML systems from research prototypes to production-grade code
Optimize model training/inference, latency, and resource usage
Develop monitoring, observability, and CI/CD tooling
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Ai ML Engineer
Accelerate enterprise growth with agentic AI and data intelligence solutions designed to automate complex workflows and deliver real-time actionable insights.
Experience Requirements:
2 - 4 years
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COE Lead - Data Engineering (Databricks & Azure)
Accelerate enterprise growth with agentic AI and data intelligence solutions designed to automate complex workflows and deliver real-time actionable insights.
Experience Requirements:
10 - 12 years
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Data Engineer - IBM Datastage + Terradata
Accelerate enterprise growth with agentic AI and data intelligence solutions designed to automate complex workflows and deliver real-time actionable insights.
Experience Requirements:
8 - 10 years
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AI Engineer
Accelerate enterprise growth with agentic AI and data intelligence solutions designed to automate complex workflows and deliver real-time actionable insights.
Experience Requirements:
5 - 8 years
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