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Find the latest job opportunities in AI and tech
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Forward Deployed Engineer
Build and deploy production-ready AI agents for enterprise workflows using a platform designed for business practitioners to automate complex tasks instantly.
Benefits:
Flexible time and location
Work tools support
Global project participation
High-trust culture
Series A stability
Experience Requirements:
1 to 3 years experience
Server-side language (Python/Node/Go)
Metric/Log/Tracing tool usage
Other Requirements:
Understand Docker/Kubernetes
Rapid learning of AI domains
Problem-solving mindset
Responsibilities:
Define technical tasks for customers
Implement realistic AI solutions
Deep technical on-site support
Collaborate with product teams
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ML/DevOps Engineer
Build and deploy production-ready AI agents for enterprise workflows using a platform designed for business practitioners to automate complex tasks instantly.
Benefits:
Flexible work environment
Tech tools support
Series A funded
Work with ex-Naver/Line/Toss members
Growth-oriented culture
Experience Requirements:
3 years or more experience
Professional Kubernetes experience
Container-based orchestration
Cloud Managed Kubernetes operation
Other Requirements:
Interest in AI domain
Experience with Istio/Helm is a plus
Vector database operation experience
Responsibilities:
Build infrastructure for STORM platform
Research ML pipeline methodologies
Configure cost-efficient infra
Implement core resources and infra
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AI/ML Research Intern
Build and deploy production-ready AI agents for enterprise workflows using a platform designed for business practitioners to automate complex tasks instantly.
Benefits:
3 months internship
Flexible environment
Research on latest AI tech
Conversion to full-time potential
Work tools support
Experience Requirements:
Experience irrelevant
LLM or RAG research experience
Other Requirements:
Passion for learning new tech
3+ days office work per week
Multi-modal interest
Responsibilities:
RAG technology development
Multi-modal Foundation research
Data generation and augmentation
LLM-as-a-Judge evaluation
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ML Backend Engineer - Python
Build and deploy production-ready AI agents for enterprise workflows using a platform designed for business practitioners to automate complex tasks instantly.
Benefits:
Flexible work hours
Equipment support
Series A stability
Career development with experts
High autonomy
Experience Requirements:
3 years or more experience
FastAPI middleware application
NLP domain understanding
Other Requirements:
Python/Go/Rust knowledge
MLOps lifecycle experience a plus
Kubernetes/Docker familiarity
Responsibilities:
Develop Python-based ML services
Create FastAPI backend and MLOps
RAG technology advancement
Collaborate with Research teams
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ML Research Engineer
Accelerate AI inference and slash costs with high-efficiency performance models designed for production, offering faster, smaller, and greener GenAI solutions.
Benefits:
Meal vouchers
health & wellness solutions
mobility
travel policy
remote stipend
Education Requirements:
A M.Sc./Ph.D. in computer science
equivalent experience in software engineering
Experience Requirements:
Expertise in the PyTorch deep learning framework
Expertise in the Python programming language
Strong foundational knowledge in machine learning algorithms
Ability to read, understand, and critique research publications
Other Requirements:
Strong communication skills
Creative, collaborative, and innovation-focused
Strong sense of project ownership
Passion for making AI accessible
Responsibilities:
Understand and implement compression methods
Integrate these methods into our compression tool
Adapt and extend successful methods
Provide support to customers
Conduct thorough testing
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Junior Software Engineer (ML)
Accelerate AI inference and slash costs with high-efficiency performance models designed for production, offering faster, smaller, and greener GenAI solutions.
Benefits:
Meal vouchers
health & wellness solutions
mobility support
travel policy
remote stipend
Education Requirements:
Programming experience (python, react, docker, …)
Some understanding of APIs or backend concepts
Experience Requirements:
Comfort working with Git
Strong interest in AI systems
Exposure to Docker, Kubernetes, or cloud platforms
Exposure to Domain Driven Design
Other Requirements:
Early in their career
Strong sense of project ownership
Personal accountability
Responsibilities:
Develop and maintain Models API
Support rollout of new or updated models
Deploy and operate components on Kubernetes
Write, test, and maintain production code
Create / improve customer portal and services
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ML Engineer
Accelerate AI inference and slash costs with high-efficiency performance models designed for production, offering faster, smaller, and greener GenAI solutions.
Benefits:
Meal vouchers
health & wellness solutions
mobility
travel policy
remote stipend
Education Requirements:
B.Sc., M.Sc./Ph.D. in Computer Science, Machine Learning, or related fields
Experience Requirements:
Expertise in PyTorch and Python
Experience taking ML models from research to production
Performance benchmarking and profiling
Comfort with cloud platforms and containerization
Other Requirements:
Strong sense of ownership and accountability
Clear communication skills
Ability to thrive in ambiguous environments
Responsibilities:
Analyse newly released open source models
Apply internal and external efficiency methods
Package optimized models for deployment
Collaborate with Software and Research teams
Customer & partner engagement
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Working Student / Master Thesis / Master Internship / PhD Internship
Accelerate AI inference and slash costs with high-efficiency performance models designed for production, offering faster, smaller, and greener GenAI solutions.
Education Requirements:
Completed B.Sc. in computer science or related fields
Completed coursework on machine learning and/or deep learning
Experience Requirements:
Experience with the PyTorch deep learning framework
Experience with the Python programming language
Ability to read, understand, reimplement research publications
Other Requirements:
Strong communication skills
Creative, collaborative, and innovation-focused
Strong sense of project ownership
Responsibilities:
Understand and implement compression methods
Integrate these methods into our compression tool
Adapt and extend successful methods
Conduct thorough testing
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Software Engineer
Turn disparate market data into actionable growth strategies using a proprietary AI platform designed for executive decision-making and revenue forecasting.
Education Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Experience Requirements:
Experience in software development and programming languages (Python, Javascript)
Familiarity with modern development tools and CI/CD processes
Mid-level experience
Other Requirements:
Strong Analytical Skills and experience in Business Analysis
Solid understanding of Business Process and ability to gather Business Requirements
Excellent Communication skills, both written and verbal
Proven ability to work independently and in a team environment
Candidate must be from the greater Denver area
Responsibilities:
Developing, testing, and maintaining software applications
Writing code, debugging software, and conducting peer reviews
Collaborating with cross-functional teams to implement requirements
Participating in project planning and requirement analysis
Ensuring the technical feasibility of UI/UX designs
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Software Engineering Manager
Streamline warehouse fulfillment with multi-purpose AI robots that automate picking and sortation, reducing labor costs with flexible RaaS or CapEx options.
Benefits:
Daily breakfast in the office
Option of working from home/hybrid work
Flexible work schedule
Sick days
Parking, bike storage with showers and changing rooms
Education Requirements:
Master's degree in Computer Science, Software Engineering, or a related field
Experience Requirements:
3+ years in a software engineering management or line leadership role
Hands-on software engineering background in C++ and/or Python
Solid system design experience
Experience with containerization, CI/CD pipelines and version control
Proven experience driving delivery through cross-functional collaboration
Other Requirements:
Primary work language: Slovak
English proficiency: C1 level
Strong focus on algorithmic thinking and optimization
Strong project management skills
Responsibilities:
Lead and develop a team of software engineers
Build a culture of ownership and collaboration
Recruit, onboard, and retain top engineering talent
Bridge product and engineering to align strategy
Oversee architectural decisions and system scalability
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Sourcing and Procurement Specialist
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Benefits:
Competitive salary and equity
Lunch every weekday
Pension scheme & match up to 4%
Life assurance
Health and dental insurance
Experience Requirements:
3–5+ years of procurement and sourcing experience
Experience managing P2P systems (Zip preferred)
Experience running sourcing events
Experience negotiating commercial agreements
Experience reviewing and interpreting contracts
Other Requirements:
Strong analytical and commercial acumen
Excellent communication skills
Ability to manage multiple stakeholders
Detail-oriented
Solutions-oriented mindset
Responsibilities:
Manage the full requisition-to-PO (P2P) lifecycle
Manage supplier onboarding and vetting
Collaborate with Accounts Payable
Conduct market analysis and benchmarking
Negotiate commercial terms and pricing
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Technical Recruiter (12 month Contract)
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Benefits:
Competitive salary and equity
Health and dental insurance
Flexible paid time off policy
Generous parental leave
Cycle-to-Work Scheme
Experience Requirements:
2+ years of technical recruiting experience
Ability to source and attract top engineering talent
Understanding of the global technical hiring landscape
Experience with LinkedIn, Twitter, GitHub
Availability to be onsite at least 2 days per week
Other Requirements:
Exceptional communication skills
Proactive, growth-oriented mindset
Analytical and problem-solving abilities
Responsibilities:
Build and manage strong candidate pipelines
Partner with hiring managers on requirements
Use data-driven insights to refine strategy
Lead structured interview panel meetings
Manage the full candidate lifecycle
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Senior Sales Engineer
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Benefits:
Competitive salary and meaningful equity
Comprehensive medical, dental, and vision
Flexible paid time off policy
Paid Parental Leave Program
401k plan & match
Experience Requirements:
Minimum of 7 years of experience in a technical pre-sales role
Experience managing C-Level relationships
Strong technical acumen
Experience working with product and engineering teams
Familiarity with managing POCs and RFPs
Other Requirements:
Willing and able to travel occasionally
Excellent communication and interpersonal skills
Problem-solving skills
Responsibilities:
Lead technical discovery
Deliver exceptional pre-sales experience
Design and lead tailored Proof of Concepts
Primary resource for RFPs and security questions
Collaborate cross-functionally with Product
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Accounts Receivable Specialist
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Benefits:
Health, Dental, Vision start day 1
401(k) match up to 2%
No cost therapy and coaching visits
Competitive paid time off
Parental leave up to 18 weeks
Education Requirements:
BA degree
Experience Requirements:
1-3 years of accounting experience
Other Requirements:
Ability to work independently
Strong problem-solving capabilities
Detail oriented and analytical
Excellent verbal and written communication
Responsibilities:
Prepare and issue accurate customer invoices
Collaborate with Sales and RevOps on billing
Manage customer billing inquiries
Apply customer cash payments in NetSuite
Support internal and external audit requests
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Staff Software Engineer II, Member Growth
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Benefits:
Health, Dental, Vision benefits
401(k) match up to 2%
No cost therapy visits
Competitive paid time off
Parental leave
Experience Requirements:
At least 12 years experience as a software engineer
At least 5 years as senior engineering leader
Track record of technical leadership
Experience leading technology strategy
Experience as culture driver
Other Requirements:
Must be based in Seattle metro area
Willing to commute 2-3 days a week (hybrid)
Collaborative leadership style
Responsibilities:
Establish and drive technical vision
Balance business and technology tradeoffs
Lead company-wide technical strategy
Lead high leverage technical initiatives
Mentor and coach Senior engineers
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Group Product Manager
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Experience Requirements:
7+ years in SaaS products
3+ years managing product teams
Strong understanding of data-driven development
Fluency in English
Other Requirements:
Systems & UX thinker
Mobile strategist
Collaborative peer
Responsibilities:
Set vision for Homepage and Notifications
Lead strategy for end-to-end meeting journey
Manage a group of senior PMs
Prioritize complex needs into roadmap
Allocate strategic resources
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Senior Product Analyst
Streamline your entire hiring lifecycle with an AI-native platform that automates sourcing, screening, and scheduling to find qualified global talent faster.
Education Requirements:
Degree in Industrial Engineering, Statistics, Economics
Experience Requirements:
5+ years as a data or product analyst
Proficiency using SQL and Excel
Experience with product analytics methodologies
Experience with Tableau or Looker
Other Requirements:
Fluency in common statistical analysis methods
Strategic thinking
Self-motivation
Responsibilities:
Present data-driven insights to leadership
Build business cases for new functionality
Lead deep-dive strategy analysis
Design and maintain ongoing dashboards
Ensure right data is generated and collected
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Product Manager
Reduce clinical administrative burdens by automating EHR inbox management, prescription refills, and patient communications with purpose-built medical AI.
Benefits:
Hybrid work model
Supportive, close-knit team
Flexible work-life balance
Opportunity to make a positive impact in healthcare
Experience Requirements:
At least 5 years of experience managing B2B SaaS products
Other Requirements:
Deep understanding of user experience design principles
Skilled in using analytics tools to measure and enhance product performance
Familiarity with U.S. consumer behavior and the healthcare landscape
Excited about leveraging AI to solve complex problems
Collaborative leader and natural team player
Responsibilities:
Lead initiatives to design seamless, intuitive onboarding experiences
Use data-driven strategies to improve product adoption, retention, and user satisfaction
Partner with UX/UI designers, engineers, marketing, and sales to create customer-focused solutions
Conduct research and leverage insights to refine workflows and enhance user experience
Tailor solutions for the U.S. market and continuously monitor product performance
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Register your interest
Automate high-stakes decision-making with 99%+ precision using neurosymbolic AI that provides full audit trails and consistent results for regulated industries.
Benefits:
Hybrid working scheme
Salary
Generous share options (EMI scheme)
Team days and face-to-face meetings
Experience Requirements:
Exceptional talent and motivated individuals
Ability to bring fresh perspectives and new ideas
Other Requirements:
Willingness to tackle difficult technical problems
Responsibilities:
Contribute to the company success and growth
Make a difference in Artificial Intelligence accuracy and safety
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Principal Product Manager
Automate high-stakes decision-making with 99%+ precision using neurosymbolic AI that provides full audit trails and consistent results for regulated industries.
Benefits:
Hybrid working (3 days in office encouraged)
Free team lunches every Tuesday, Wednesday and Thursday
Variety of optional social and extra-curricular activities
Annual international offsite
Collaborative world-class team environment
Experience Requirements:
7–10+ years in product leadership roles
Proven success in high-stakes or regulated domains
Strong technical fluency in AI/ML fundamentals
Track record of launching and scaling impactful enterprise or infrastructure products
Success creating product strategy in highly ambiguous environments
Other Requirements:
Analytical, structured thinker
Excellent leadership and people skills
Entrepreneurial mindset with a bias for action
Responsibilities:
Define and evolve the product vision and roadmap
Translate cutting-edge technology into user-centric product experiences
Identify and validate scalable opportunities in regulated markets
Act as the “CEO of the product” ensuring strategic alignment
Establish robust product management practices across prioritisation and planning
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