AI Jobs

Benefits:

• A remote-first, international team working on cutting-edge AI infrastructure

• A competitive salary with additional perks

• Flexible working hours and async-friendly culture

• Regular team offsites and virtual events

• Hardware budget – choose your own setup

Experience Requirements:

• 2+ years of technical solution delivery in a customer facing role

• Experience with Python and one other language

• Demonstrated success deploying Solutions using no-sql databases

Other Requirements:

• Ability to articulate complex technical requirements

• Vector Search engines experience (plus)

Responsibilities:

• Become a search expert in vector search to solve real-world problems

• Provide deep technical expertise for customer engagements involving Qdrant

• Lead architectural reviews, migration assessments, and workshops

• Understand customer requirements and validate performance and result relevancy

• Work closely with Engineering, Developer Relations, and Support

Benefits:

• Competitive salary, equity, and benefits

• Fully remote setup with flexible working hours

• Clear ownership of reliability and operational excellence

• Opportunity to work on mission-critical customer-facing infrastructure

• Strong collaboration with platform and engineering teams

Education Requirements:

• CISSP, CISA, or CCSP (Certified Cloud Security Professional)

• AWS Certified Security – Specialty

• Azure Security Engineer

• Google Professional Cloud Security Engineer

Experience Requirements:

• 5+ years in Security Engineering, DevSecOps, or as a Security Officer

• Technical knowledge of AWS, GCP, Azure (IAM, Multi-AZ architectures, etc.)

• Practical experience maintaining SOC 2 Type II, HIPAA, and GDPR

• Ability to perform threat modeling and architectural risk classification

Other Requirements:

• Strong stakeholder management skills

• Familiarity with the OWASP SAMM framework

• Experience using automated compliance tools like Drata or Vanta

• Background in Rust or high-performance database environments

Responsibilities:

• Own and prioritise the Security Backlog, translating threats into engineering requirements

• Lead and evolve our existing Security Champions initiative

• Conduct formal Architectural Risk Assessments on critical components

• Maintain our always-audit-ready status using Drata and HeyData

• Oversee security posture management across AWS, GCP, and Azure

Experience Requirements:

• 6+ years of experience building modern, production-grade web applications

• Expertise in React, including hooks, performance optimization, state management, and component architecture

• Experience building complex, data-intensive UIs with a focus on scalability and maintainability

• Solid backend experience with Java (Spring Boot or Spring MVC)

• Proven experience designing and consuming RESTful APIs in distributed systems environments

Other Requirements:

• Strong debugging skills across frontend performance and backend service interactions

• Experience with relational databases like PostgreSQL

• Working knowledge of microservices and cloud-native application patterns

• Experience with Docker; Kubernetes is a plus

• Experience with Azure preferred (AWS or GCP also valuable)

• Hands-on experience with testing frameworks such as Playwright and JUnit

Responsibilities:

• Lead the design and development of modern, scalable frontend applications using React, TypeScript, and contemporary UI patterns

• Architect reusable component libraries, state management strategies, and performant data-fetching patterns

• Design and integrate scalable RESTful APIs

• Develop backend services using Java to support frontend requirements and improve system capabilities

• Troubleshoot and resolve issues across the stack

Benefits:

• Competitive compensation and benefits

• flexibility for remote work

Experience Requirements:

• 6+ years of progressive experience in SRE, DevOps, Platform, or equivalent roles

• Demonstrated ownership of production systems and experience operating in an on-call environments

• Strong knowledge of DevOps practices, GitOps, CI/CD pipelines, and Infrastructure as Code (IaC) tools

• Experience with automation tools such as Ansible, Puppet or equivalent

• Experience with monitoring and observability tools like NewRelic, DataDog, Prometheus/Grafana

Other Requirements:

• Strong project execution skills

• Clear communication skills

• A mindset of accountability, continuous improvement, and learning

• Strong Scripting skills using Bash/Shell, Python, JS, etc.

Responsibilities:

• Design, implement, and evolve reliability practices aligned with SRE principles across the TotalPLM stack

• Monitor, analyze, and optimize system performance, availability, and reliability

• Build and improve automation to reduce toil and increase operational efficiency

• Partner with Software Development and Customer Support teams to ensure reliable delivery and operation of services

• Define, track and analyze SLI/SLO metrics

Experience Requirements:

• 5+ years of experience building and scaling distributed infrastructure

Other Requirements:

• U.S. citizenship required

• Experience delivering solutions in IL5 or FedRamp High/Moderate environments

• Strong debugging and problem-solving skills

• Skilled in managing distributed systems in public, private, or hybrid cloud environments

Responsibilities:

• Develop automation code to provision and operate infrastructure at scale

• Collaborate with Architects to implement foundational technologies and policies

• Plan and execute long-term roadmaps across multiple teams

• Build resilient, scalable, secure, and observable services

• Proactively identify and address security concerns across systems

Experience Requirements:

• 5+ years of experience building and scaling distributed infrastructure

Other Requirements:

• U.S. citizenship required

• Experience delivering solutions in IL5 or FedRamp High/Moderate environments

• Experience using and owning AI tools to enhance operational efficiency

Responsibilities:

• Develop automation code to provision and operate infrastructure at scale

• Collaborate with Architects to implement foundational technologies and policies

• Plan and execute long-term roadmaps across multiple teams

• Build resilient, scalable, secure, and observable services

• Proactively identify and address security concerns across systems

Education Requirements:

• Bachelor’s or Master’s in Computer Science, Engineering, or related field

Experience Requirements:

• 8+ years of experience in back-end software engineering

Other Requirements:

• Strong proficiency in Python and Java

• Hands-on experience with AWS, Docker, and Kubernetes

• Experience with large-scale data pipelines (e.g., Apache Spark, Kafka) preferred

Responsibilities:

• Architect and implement microservices-based platforms

• Build and deploy applications on AWS

• Design and optimize SQL-based data systems and ETL pipelines

• Drive platform reliability through monitoring and logging

• Build developer tools for integrating LLMs and AI models

Education Requirements:

• Bachelor’s or Master’s in Computer Science, Engineering, or related field

Experience Requirements:

• 8+ years of experience in back-end software engineering

Other Requirements:

• Strong proficiency in Python and Java

• Hands-on experience with AWS, Docker, and Kubernetes

Responsibilities:

• Architect and implement microservices-based platforms

• Build and deploy applications on AWS

• Design and optimize SQL-based data systems and ETL pipelines

• Drive platform reliability through monitoring and logging

• Build developer tools for integrating LLMs and AI models

Benefits:

• Generous founding equity

• Competitive compensation

• Direct collaboration with founders

• Shaping the future of LLM testing

• Fully-paid work trial

Experience Requirements:

• Proficient in open-source contributions

• Proficient in Python and TypeScript

• Experience with developer marketing channels

• Taste for good documentation and design

• Quick learner of SEO and GEO strategies

Other Requirements:

• Willingness to work 6 days a week

• Communicate well

• Natural curiosity for new research

• Doers, not yappers

Responsibilities:

• Work on DeepEval for LLM evaluation and red teaming features

• Write high quality documentation and blog articles

• Post and repurpose content on Reddit, Twitter, and LinkedIn

• Define and measure growth channels

• Manage open-source community in Discord and GitHub

Benefits:

• Generous founding equity

• High compensation

• Work closely with founders

• Learn how to serve enterprise customers

• Fully-paid work trial

Experience Requirements:

• Expertise in Python and Node.js/TypeScript

• Deep knowledge of PostgreSQL

• Experience building low-latency distributed systems

• Experience with Docker and Kubernetes

• Experience with AWS, GCP, or Azure

Other Requirements:

• Willingness to work 6 days a week

• Experience with multi-tenant architecture

• Understanding of data security best practices (SOC 2, HIPAA)

• Ability to manage on-premise deployments

Responsibilities:

• Lead design and development of core backend infrastructure

• Architect scalable systems for cloud and on-premise deployments

• Own critical backend services

• Collaborate with frontend team for feature delivery

• Implement robust monitoring and alerting

Benefits:

• Competitive compensation

• comprehensive benefits package

• professional development and growth

Education Requirements:

• BS or MS in Mechanical, Mechatronics, or Robotics Engineering (or equivalent)

Experience Requirements:

• Six or more years of work experience in industrial automation, robotics, or product development

Other Requirements:

• Experience designing mechanical components in 3D CAD (preferably SolidWorks)

Responsibilities:

• Concepting new designs

• Designing new designs

• Prototyping new designs

• Testing new designs

• Launching products into production and supporting deployed systems

Benefits:

• Employee Referral Program

Education Requirements:

• Bachelor’s degree in electrical, mechanical, or robotics engineering

• Master's degree in electrical, mechanical, or robotics engineering

Experience Requirements:

• 3 years of work experience in the robotics or industrial automation industry

• 2 years of work experience with conveyor systems and robot arms

• 2 years of work experience designing and controlling motion systems

• 2 years of work experience interpreting electrical schematics

• 2 years of work experience developing industrial control systems

Other Requirements:

• Travel Requirement: 5% Domestic travel per year

• Must report to company offices at least three days per week

Responsibilities:

• Problem solve on a cross-disciplinary product team

• Work independently on pieces of systems to ensure cohesive design

• Design practical solutions for manufacturability and maintenance

• Conduct hands-on prototyping and quick iteration

• Perform test, verification, and troubleshooting of prototype and production systems

Benefits:

• Competitive compensation

• comprehensive benefits package

• professional development and growth

Education Requirements:

• BS or MS in Mechanical Engineering

Experience Requirements:

• Six or more years of work experience in industrial automation, robotics, or product development

Other Requirements:

• Experience designing mechanical components in 3D CAD (preferably SolidWorks)

• Travel: Approximately 10% international

• This role is not eligible for visa sponsorship

Responsibilities:

• Concepting new designs

• Designing new designs

• Prototyping new designs

• Testing new designs

• Launching products into production and supporting deployed systems

Education Requirements:

• Bachelor’s degree in Manufacturing, Mechanical, Electrical, Industrial Engineering, or related field

Experience Requirements:

• 3+ years of experience in manufacturing engineering for complex electromechanical systems

Other Requirements:

• Ability to lift up to 40-50 lbs

• Occasional travel may be required to support suppliers or customer sites

Responsibilities:

• Develop and maintain manufacturing processes and work instructions

• Support new product introduction (NPI) and production ramp

• Collaborate with design engineers to influence DFM/DFA decisions

• Define build sequences, takt times, line layouts, and labor models

• Identify and implement process improvements to improve quality and throughput

Benefits:

• Competitive compensation

• Health insurance coverage

• Frequent office and social events

• Birthday is a free day

• Free access to music studio

Experience Requirements:

• 5+ years of professional experience

• Experience in Agile/Scrum development cycle

• Strong skill set in C#

• Experience data modelling with NoSql/SQL databases

• Experience with Micro service & Docker architectures

Other Requirements:

• Fluent in French and English

• Knowledge of audio engineering

• Strong analytical skills

• Ability to work with cross team organizations

Responsibilities:

• Implement features defined by product managers & designers

• Design, develop & deploy high quality software

• SQL and NoSQL database management

• Work on the Amazon AWS Cloud platform

• Deliver code in production using CI platform

Benefits:

• Competitive compensation

• Health insurance coverage

• RRSP program

• Frequent office and social events

• Birthday is a free day

Experience Requirements:

• Proven experience building production-grade agentic systems

• Hands-on experience with LLM context patterns

• Proficiency in Python, SQL, and ETL patterns

• Experience with vector databases and semantic search

• LLM Evaluation experience

Other Requirements:

• Foundational ML knowledge

• Ability to reason about model selection tradeoffs

Responsibilities:

• Architect and implement interaction logic for multi-agent ecosystem

• Design and build pipelines for AI systems

• Handle real-time data access at scale

• Build clean, fast API interfaces

• System optimization for cost and latency

Benefits:

• Inclusive culture

• Opportunity to work in a leading edge AI company

• Generous time off

• Extended health benefits

• Flexible office policy

Experience Requirements:

• Experience building web applications with Python

• Experience using React to build complex web applications

• Understanding of microservice architecture and distributed system design

• Proven track record of delivering well-designed and tested software

• Solid understanding of relational and non-relational databases

Other Requirements:

• Activation & Engagement

• Teamwork & Collaboration

• Excellence & Craft

• Communication & Leadership

Responsibilities:

• Maintain focus on the business impact of their changes

• Work very closely with a small number of other developers

• Build systems that are accessible to new teammates and extensible

• Deliver learning sessions to introduce technical teammates to new concepts

Benefits:

• Inclusive culture

• Generous time off

• Extended health benefits

• Flexible office policy

• Attend Conferences

Experience Requirements:

• Track record of building and managing cloud-based services in Azure, AWS, or GCP

• Proven experience with scaling applications in Kubernetes

• Experience creating and managing Kubernetes clusters

• Proficiency with Python

• At least 5 years professional experience in related technical roles

Other Requirements:

• Strong networking and Linux knowledge

• Understanding of microservice architecture and distributed system design

• Experience with building out in-house or self-managed monitoring solutions

• Experience with encrypting data at rest and in transit

• Experience with scaling applications when there’s sudden bursts of traffic

Responsibilities:

• Manage cloud infrastructure

• Deploy and manage Kubernetes clusters

• Manage CI/CD Pipelines

• Ensure overall system uptime, scalability reliability and security

• Monitor and test application performance

Benefits:

• A chance to be a part of a rapidly growing startup with a transformative technology

• Competitive salary with performance-based bonuses

• Opportunities for personal and professional growth

• Flexible working conditions with the ability to work remotely

Experience Requirements:

• Strong experience with cloud services, particularly AWS

• Proficient in Terraform for infrastructure management

• Experience managing Kubernetes clusters and containerized applications

• Strong understanding of network fundamentals, security, and standard Internet services

Other Requirements:

• Ability to script in one or more languages (Python, Bash, etc.)

• Excellent problem-solving skills and attention to detail

• Strong communication and collaboration skills

Responsibilities:

• Design, implement, and maintain infrastructure as code using Terraform

• Manage Kubernetes clusters across various cloud platforms, ensuring high availability and fault tolerance

• Automate deployment, scaling, and management of containerized applications

• Collaborate with engineering teams to integrate AI solutions in a cloud environment

• Monitor and improve the infrastructure to ensure security and efficiency

Education Requirements:

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Experience Requirements:

• Hands-on experience with large language models and their applications

• Strong programming skills in Python, including experience with ML/NLP libraries

• Experience with developing Retrieval-Augmented Generation (RAG) systems

• Publications or contributions to significant projects in the field of machine learning, NLP, or related areas

Other Requirements:

• Profound understanding of deep learning and natural language processing principles

• Excellent problem-solving abilities and a passion for innovation

• Strong communication skills

• Experience working in a fast-paced, startup environment

Responsibilities:

• Fine-tune Open-source LLMs to customize and optimize performance

• Build RAG Systems to enhance information-rich responses

• Develop Conversational Applications utilizing LLMs

• Research and Innovation in LLMs, deep learning, and NLP

• Collaborate with product and engineering teams to integrate models