AI Jobs

Benefits:

• Wellpass (gym membership)

• Flexible working hours

• Option to work from home

• Open corporate culture

• Competitive compensation

Experience Requirements:

• 3+ years experience as full stack developer

• Experience with Git and CI/CD pipelines

• Experience with robotic systems or IoT (plus)

Other Requirements:

• Proficiency with React, Vue.js, or Angular

• Experience with Node.js, Django, Flask

• Experience with PostgreSQL, MongoDB, or MySQL

• Proficient in JavaScript/TypeScript, Python, or Go

• Knowledge of Docker and AWS/GCP/Azure

Responsibilities:

• Design and maintain web apps for robotic systems

• Build scalable and secure backend services

• Implement dynamic dashboards and visualization tools

• Optimize application performance and scalability

• Ensure code quality and security through reviews

Benefits:

• Flexible working hours

• Option to work from home

• Motivated team

• Open culture

Education Requirements:

• Engineering program at a reputable university

Experience Requirements:

• Outstanding academic record (GPA 1.7 or better on German scale)

• Portfolio projects demonstrating CAD skills

Other Requirements:

• Excellent CAD skills

• Strong analytical thinking

• Grasp of technical interrelationships

• Familiarity with machine design and control engineering

Responsibilities:

• Design and develop robotic cells

• Build prototypes and test rigs for robotic peripherals

• Plan and run experimental trials

• Contribute to project planning and execution

Benefits:

• Wellpass (gym membership)

• Flexible working hours

• Open corporate culture

• Competitive compensation

• Career development opportunities

Education Requirements:

• Bachelor’s or Master’s degree in Mechanical Engineering or related field

Experience Requirements:

• 3+ years experience in mechanical design

• Experience in robotics or automation

• Experience in industrial design (plus)

Other Requirements:

• Proficiency with CAD tools like SolidWorks or AutoCAD

• Understanding of mechanical testing and prototyping

• Knowledge of material properties and manufacturing

• Willingness to travel approx 25%

Responsibilities:

• Design mechanical systems and components for AI robots

• Create detailed 3D models and technical drawings

• Integrate mechanical components with electrical/software

• Optimize designs for cost and manufacturability

Benefits:

• Mentorship and Growth

• Ownership and Impact

• Dynamic Environment

• Career Growth Opportunities

• Fun and Inclusive Culture

Experience Requirements:

• Experience with React, NodeJS and MongoDB or other NoSQL databases

Other Requirements:

• Passion for football and the intersection of sports and technology

• Willing to learn new technologies and frameworks

• Hands-on mindset

Responsibilities:

• Help develop our web platform & application

• Build robust and performant solutions

• Work closely with the development team using scrum-inspired development cycles

Benefits:

• Challenging and unique business problems

• International work environment

• Flat organization

• Great career development opportunities

Education Requirements:

• Graduated from Hong-Kong based Universities

Experience Requirements:

• Strong Python skills, including Pandas

• Solid Foundation of programming and algorithms

• Experience in AWS

• Experience with CI/CD

Other Requirements:

• Database knowledge: SQL, NoSQL (MongoDB), ORM

• Familiar with Linux

• Familiar with Docker

• Can communicate in English clearly and efficiently

• Hong Kong residency

Responsibilities:

• Responsible for multiple internal back-end projects

• Definition and implementation of strategic vision

• Development and deployment of ETL and data engineering

• Scraping and API development

Benefits:

• The opportunity to join a team of professionals

• Participation in the Stock Option Program

• 4 weeks (20 working days) of paid vacation

• Paid sick leaves (10 days/year with full coverage)

• Flexible working hours

Experience Requirements:

• Over 2 years of hands-on experience nurturing CV/ML projects

• Mastery of 3D computer vision and computational geometry

• Understanding of ML mathematical underpinnings and numerical optimization

• Technical prowess with Python, PyTorch/Tensorflow and scientific packages

• Upper-intermediate proficiency in English

Other Requirements:

• Navigate data structures, data modeling, and software architecture

• Craft intricate validation schemes for accuracy

• Track the evolution of experiments with finesse

• Flexibility and stellar communication skills

Responsibilities:

• Develop body reconstruction pipeline with novel features

• Conduct groundbreaking research to elevate accuracy

• Architect and maintain framework for prediction veracity

• Embark on projects that illuminate path to enhanced accuracy

• Safeguard integrity of ML pipeline testing flow

Benefits:

• Culture of collaboration

• Professional growth priority

• Shaping product and team culture

Experience Requirements:

• Strong technical experience and natural leadership skills

• Led major cross teams projects

• Deep understanding of Cloud infrastructure (AWS, GCP, Azure)

• Hands-on development experience

Other Requirements:

• Use AI for everyday tasks

Responsibilities:

• Lead and grow a new engineering team

• Drive development of a new product from idea to launch

• Collaborate with product, design, and leadership to set priorities

• Split time between hands-on development and team mentoring

• Foster a culture of collaboration and quality

Benefits:

• Professional growth priority

Education Requirements:

• Bachelor’s Degree in Computer Science or other related field

Experience Requirements:

• 3+ years as a security practitioner in the GRC space

• Comfortable working in an external customer-facing role

• Experience with SOC 2, ISO 27001, NIST 800-53

• Proven ability to work within Public Cloud providers

Other Requirements:

• Comfortable implementing AI tools in day-to-day GRC workflows

• Extensive hands-on experience with at least one LLM

Responsibilities:

• Lead transition of legacy programs into the modern era

• Analyze customer technical environments for automated data collection

• Identify gaps and inefficiencies in security and risk posture

• Empower customers to defend automated controls to auditors

• Champion use of AI tools to optimize GRC workflows

Benefits:

• Professional growth priority

Experience Requirements:

• 5+ years of hands-on software engineering experience

• At least 2 years in a leadership or team-lead role

• Experience with cloud platforms (AWS, Azure or GCP)

• Technical competence in Python, Java or TypeScript

Other Requirements:

• Excellent communication skills in English

Responsibilities:

• Mentor and manage a team of talented engineers

• Architect and deliver solutions for unstructured data

• Ensure data infrastructure is reliable and high-performance

• Define and enforce best practices around architecture and testing

• Monitor team health, velocity, and outcomes

Benefits:

• Professional growth priority

Experience Requirements:

• 5+ years of professional experience as a Frontend engineer

• Strong expertise in React and modern development patterns

• Experience with Angular

• Familiarity with state management tools (Redux, Zustand)

Other Requirements:

• Knowledge of frontend performance optimization

Responsibilities:

• Build and optimize a complex large-scale frontend application

• Partner with other engineers to refine workflows

• Drive architectural improvements and elevate UX

• Push a sophisticated frontend product to the next level

Benefits:

• Professional growth priority

Education Requirements:

• BSc in Computer Science from a leading institute

Experience Requirements:

• 6+ years of experience in backend engineering

• Extensive experience developing in Python

• Experience with distributed microservices architecture

• Hands on experience in cloud environments (AWS / GCP / Azure)

Other Requirements:

• Hands-on experience with AI tools like Copilot or Cursor

Responsibilities:

• Design, build, and scale the company’s infrastructure

• Refine system architecture and set technical standards

• Collaborate across R&D and product teams

• Architect features for the AI era

• Drive improvements in development processes and tools

Benefits:

• Flexible workplace plan

• Remote work options

• Adaptable schedules

• Training

• Mentorship

Other Requirements:

• CV/Resume

• Tailored Cover Letter

Responsibilities:

• Redefine engineering processes

• Support automotive innovators

• Collaborate cross-functionally

• Solve complex challenges

• Advancing automotive system design and calibration

Benefits:

• salary

• equity

• healthcare insurance

• nice office

• generous paid parental leave

Other Requirements:

• appropriate work authorization

• happy 4 days office based

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• 2+ years hands-on with LLMs in production

• Has built evaluation systems, not just written prompts

• Strong technical skill set

• Systems thinker

• Clear communicator

Other Requirements:

• Experience defining how AI quality works at scale

Responsibilities:

• Own end-to-end quality of all AI outputs across the app

• Design and build our evaluation framework (automated tests, loops, scoring)

• Create, version, and optimize prompts for every use case

• Build and maintain test datasets that catch regressions

• Hire and lead a team of prompt engineers and eval specialists

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• 4+ years shipping production full-stack applications

• Strong Python, Node.js, and React skills with focus on clean architecture

• Experience with LLM tool calling, function definitions, and prompt engineering

• Solid product thinking regarding technical decisions and user experience

• Comfortable navigating large codebases and understanding service boundaries

Other Requirements:

• Track record of shipping independently while collaborating well

• Strong code review skills

• Comfortable using AI tools to accelerate development

Responsibilities:

• Create tools/functions that LLMs can reliably call

• Implement the UI for these tools working with designers

• Build retry logic, fallbacks, and self-correction mechanisms

• Instrument everything with tracking and logging

• Develop background workflows that chain multiple operations

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Experience Requirements:

• Extensive industry experience in developing back-end systems in a modern cloud environment

Other Requirements:

• The Python programming language and its ecosystem (FastAPI, uv, ruff, pyright, …)

• Databases and big data systems

• Production systems for machine learning applications

• Building containerized backend systems (Docker, Kubernetes)

• Highly-available distributed cloud systems

Responsibilities:

• Designing and developing a service-oriented decoupled web application

• Architecting ways to manipulate and store biological sequence data

• Architecting APIs across which we interact with machine learning models

• Providing technical leadership for software engineering process

• Collaborating with biologists, machine learning experts, and scientists

Benefits:

• Base pay $175,000 - $250,000

• Stock options

• 100% medical, dental & vision coverage

• Flexible PTO

• $1,200 Home Office & Equipment Stipend

Experience Requirements:

• 2+ years managing a team of high performance software engineers

• 6+ years as a software engineer building and shipping products used by millions of users

• Strong experience with Linux systems internals and/or cloud systems engineering

Other Requirements:

• Comfortable with Go, Python, and/or TypeScript

• Solid understanding of microservices, APIs, eventing, and data stores

• Successful completion of a background check

Responsibilities:

• Own Feature Delivery for a Product Area

• Plan and Execute Roadmaps

• Technical Leadership & Architecture

• Build and Grow a Strong Team

• Quality & Reliability for Product Surfaces

Benefits:

• Competitive compensation

• Health insurance coverage

• Frequent office and social events

• Your birthday is a free day

• Annual public transit & sport activity allowance

Experience Requirements:

• 5+ years of professional experience within product-oriented companies

• Experience evolving in Agile/Scrum development cycle

• Excellent understanding of service-oriented architecture

• Strong skill set in C# and experience developing Restful APIs

• Experience data modelling with NoSql and SQL databases

Other Requirements:

• Fluent in French and English

• Experience with Micro service & Docker architectures

• Experience developing and deploying products on Amazon AWS

• Strong analytical skills

• Ability to work in fast paced start up Agile development environment

Responsibilities:

• Implement features defined by product managers & designers

• Design, develop & deploy high quality software using Agile methodology

• Work with SQL and no-SQL databases

• Work on the Amazon AWS Cloud platform and associated services

• Participate in Agile sprint planning, demos, and peer code reviews

Benefits:

• Competitive compensation

• Health insurance coverage

• RRSP program with employer matching contribution

• Frequent office and social events

• Your birthday is a free day

Experience Requirements:

• Proven experience building production-grade agentic systems

• Hands-on experience with LLM context patterns (RAG, context windows)

• Proficiency in Python, SQL, and ETL patterns

• Experience with vector databases and semantic search

• Experience setting up LLM evaluation workflows

Other Requirements:

• Foundational ML knowledge

• Fluent in French and English

• Ability to balance expensive LLMs with deterministic logic

Responsibilities:

• Architect and implement interaction logic for multi-agent ecosystems

• Design and build data pipelines for AI queryability

• Handle real-time data access at scale

• Build clean, fast interfaces for AI orchestrator context access

• Implement strict validation layers to prevent hallucinations

Experience Requirements:

• Experience building Clay workflows

• High-level understanding of table architecture

• Knowledge of data enrichment costs

• Impactful results in GTM work

• Built in-house or for others

Other Requirements:

• Loom video of a Clay workflow (<5 minutes)

• Share LinkedIn profile

Responsibilities:

• Build Clay workflows and tables

• Develop GTM engineering solutions

• Manage data enrichment costs and processes