AI Jobs

Experience Requirements:

• 3+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's degree in Computer Science or a related field.

Experience Requirements:

• Minimum 5+ years of experience in software engineering, with a focus on infrastructure design.

• Proven experience in designing complex systems and strong software engineering skills.

• Strong understanding and experience with distributed systems like Apache Spark, Ray etc. and infrastructure design.

• Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes.

• Demonstrated expertise in DevOps practices, with a focus on ML.

Responsibilities:

• Build and maintain cloud infra and distributed systems for MLOps

• Build out internal training framework to make research with large distributed models easy and fun

• Design and develop systems to support Voxel's ML development, with a focus on computer vision applications.

• Provide technical guidance, mentorship, and project management support.

• Build distributed systems and pipelines for data management, ensuring scalability, reliability, and performance.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's degree in Computer Science or a related field

Experience Requirements:

• 8+ years of experience developing data-intensive backend APIs and service at scale

• 3+ years of experience leading cross-functional engineering projects

• Proven track record of customer-centric technical leadership and delivering customer value

• Solid engineering and coding skills (preferably Go, C++, Java, or another typed/compiled language)

• Production experience with cloud platforms (AWS, GCP) and cloud native architecture

Responsibilities:

• Collaborate with engineering and non-engineering teams across the company to better understand our users and how our technology can meet their evolving needs

• Lead engineering projects from scoping to implementation to maintenance

• Research, propose, and design backend services and APIs based on the needs of customers and internal systems

• Implement backend services and APIs (Go, [Node.js](http://Node.js), Python, gRPC/ConnectRPC, AWS)

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.

Experience Requirements:

• 5+ years of experience working in Cloud Infrastructure, DevOps.

• Proficiency with the Kubernetes ecosystem

• Experience with AWS services including IAM, S3, RDS, EKS.

• Experience with IaC such as Terraform.

• Experience building and scaling high availability distributed systems.

Responsibilities:

• Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.

• Develop and implement DevOps practices to deploy applications in AWS EKS.

• Build infrastructure configuration-as-code modules using Terraform.

• Design and develop architectures for running AI on realtime video at scale.

• Implement security best practices for the software engineering organization.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Experience Requirements:

• 5+ years of experience with REST, API design patterns, scalable containerized systems, and microservices.

• Experience building large distributed systems and handling scalability, with expertise in Flink, Kafka, or Kinesis for stream processing.

• Demonstrated experience in designing, architecting, and delivering large-scale distributed systems, from concept to production.

• Hands-on experience with Terraform and cloud infrastructure (AWS, Azure, or GCP).

Responsibilities:

• You will contribute to the development, scaling, and securing of large distributed systems, data processing pipelines, access control systems, and Cloud APIs

• Solve unique technical challenges

• Develop, test, and deploy services within the Voxel ecosystem

• Influence the technical direction of the teamUphold high code quality and architectural design standards

• Design scalable and resilient systems and services

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.

Experience Requirements:

• 5+ years of experience working in Cloud Infrastructure, DevOps.

• Proficiency with the Kubernetes ecosystem

• Experience with AWS services including IAM, S3, RDS, EKS.

• Experience with IaC such as Terraform.

• Experience building and scaling high availability distributed systems.

Responsibilities:

• Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.

• Develop and implement DevOps practices to deploy applications in AWS EKS.

• Build infrastructure configuration-as-code modules using Terraform.

• Design and develop architectures for running AI on realtime video at scale.

• Implement security best practices for the software engineering organization.

Benefits:

• Share Options!

• Flexible working!

• Annual Leave!

• Annual off-site

• Purpose driven!

Experience Requirements:

• 8+ years of experience in software engineering, including technical leadership and team management.

• Proven experience scaling engineering teams in a fast-paced startup environment.

• Deep expertise in backend development (Python preferred), cloud infrastructure (GCP/AWS), and system design.

• Strong understanding of modern software development best practices, including CI/CD, containerization, observability, and microservices.

• Experience working closely with Product teams to align technical decisions with business priorities.

Responsibilities:

• Own the technical strategy for the team's scope, ensuring scalability, performance, and security.

• Lead the architecture and design of backend systems, APIs, and infrastructure to support rapid growth.

• Collaborate closely with the VP of Engineering & Product to align technical decisions with business goals.

• Ensure technical excellence by championing best practices, high code quality, and operational excellence.

• Lead, manage, and mentor a high-performing engineering team, fostering a culture of learning, innovation, and accountability.

Benefits:

• Equity ownership (RSUs) in a growing, privately-owned company

• 100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents.

• Flexible PTO for all locations and sabbatical program

• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program

• Monthly stipends to support work and wellness

Experience Requirements:

• 5+ years of experience in full-stack, product-focused software engineering, with a proven track record of shipping impactful products to market.

• 1+ years of hands-on experience building products that leverage AI/ML technologies to solve real-world problems.

Other Requirements:

• Are highly proficient in JavaScript and/or TypeScript.

• Have an intuition of AI/ML concepts and technologies, such as large language models, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering.

• Have experience measuring and improving the quality of large language model outputs through the use of techniques like prompt engineering and fine tuning.

• Have strong problem-solving skills, with the ability to debug production issues across multiple layers of the stack efficiently and effectively.

• Demonstrate exceptional organizational and communication skills, capable of breaking down complex technical ideas for both engineering and non-engineering audiences.

• Are passionate about delivering business value through fast iteration, with a bias toward shipping early and often.

• Take ownership of your work and are motivated by driving projects to impactful, measurable outcomes.

• Thrive in collaborative, cross-functional teams, and are excited to mentor and contribute to the team’s overall success.

• Are you proficient in Javascript, Typescript and or React?

• Do you have experience with OpenAI or other large language models? If yes, please list the models you are most proficient in using.

Responsibilities:

• Stay up-to-date on AI/ML ecosystem advancements to assess their relevance to Webflow’s product strategy.

• Develop and integrate third-party AI APIs into the product's architecture.

• Be comfortable with making decisions with incomplete information and adjusting priorities as new insights emerge.

• Work closely with the product and design teams, owning and iterating on the solution together.

• Improve developer processes for building LLM-powered applications, helping to establish best practices in prompt engineering, experimentation, and quality assessments.

Benefits:

• Generous PTO (starting at 25 days PTO per year)

• Parental Leave policy (12 weeks paid)

• 100% remote work environment with flexible hours

• Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress

• Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)

Other Requirements:

• Candidates must be able to fully overlap and support North America time zones

• Must be fluent in English, both written and verbal

• Up to10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events

Responsibilities:

• Own all phases of OfferFit use case delivery working alongside OfferFit implementation engineers and customer executives, marketers and IT stakeholders

• Run design sessions with customers to decide on and document use case requirements and integration approach

• Champion delivery & project management excellence through development of process playbooks and best practices

• Proactively identify, escalate and mitigate potential project risks

• Build relationships with key stakeholders at OfferFit customers Communicate customer needs to OfferFit’s product & marketing teams to ensure a customer-centric product roadmap

Benefits:

• Generous PTO (starting at 25 days PTO per year)

• Parental Leave policy (12 weeks paid)

• 100% remote work environment with flexible hours

• Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)

Other Requirements:

• Candidates must be able to fully overlap and support North America time zones

• Must be fluent in English, both written and verbal

• Up to 10-15% travel for team offsite workshops, customer meetings, and industry-related events

Responsibilities:

• Collaborate with customer analytics/BI teams and OfferFit colleagues on use case setups (design, data integration, pipeline and ML model configuration, etc.) and ongoing value delivery and optimization

• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components

• Work closely with the Applied Science team to improve self-learning (reinforcement learning) algorithms

• Participate in determining OfferFit’s product strategy and roadmap

Benefits:

• Generous PTO (starting at 25 days PTO per year)

• Parental Leave policy (12 weeks paid)

• 100% remote work environment with flexible hours

• Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress

• Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)

Other Requirements:

• Candidates must be able to fully overlap and support North America time zones

• Must be fluent in English, both written and verbal

• Up to 10-15% travel for team offsite workshops, customer meetings, and industry-related events

Responsibilities:

• Collaborate with customer analytics/BI teams and OfferFit colleagues on use case setups (design, data integration, pipeline and ML model configuration, etc.) and ongoing value delivery and optimization

• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components

• Work closely with the Applied Science team to improve self-learning (reinforcement learning) algorithms

• Participate in determining OfferFit’s product strategy and roadmap

Benefits:

• Generous PTO (starting at 25 days PTO per year)

• Parental Leave policy (12 weeks paid)

• 100% remote work environment with flexible hours

• Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress

• Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)

Other Requirements:

• Candidates must be able to fully overlap and support North America time zones

• Must be fluent in English, both written and verbal

• Up to10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events

Responsibilities:

• Own all phases of OfferFit use case delivery working alongside OfferFit implementation engineers and customer executives, marketers and IT stakeholders

• Run design sessions with customers to decide on and document use case requirements and integration approach

• Champion delivery & project management excellence through development of process playbooks and best practices

• Proactively identify, escalate and mitigate potential project risks

• Build relationships with key stakeholders at OfferFit customers Communicate customer needs to OfferFit’s product & marketing teams to ensure a customer-centric product roadmap

Education Requirements:

• Bachelor’s degree or higher in Computer Science or related discipline.

Experience Requirements:

• 5+ years of relevant experience required.

Other Requirements:

• Familiarity with various technology stacks including Linux, Kubernetes, Microservices Architecture, Kafka / NATS, RDBMS, Python and JavaScript.

• Experience with troubleshooting and software development processes.

• Good understanding of business processes and solutions.

• Good command of English, Cantonese and Mandarin speaking, good presentation and writing skills.

• Self-motivated, energetic, and organized.

• Flexible and able to work under pressure.

• Eager to learn new technologies and investigate technical issues.

Responsibilities:

• Design software solutions using the company’s AI products to meet customer needs.

• Provide technical support during pre-sales and post-sales phases.

• Examine current system architecture and work with client business and technical staff to recommend solutions that will result in more efficient systems.

• Conduct and lead technical discussions with the client’s IT department to ensure that the company’s AI products can be reliably and securely deployed into the client’s environment.

• Understand and mitigate the risks of third-party software and modules that will be encountered in the solution design. Evaluate and decide what frameworks, platforms and technology stacks should be used for specific solution designs. Keep up to date with relevant competitive products and solutions.

Benefits:

• Flexible Work

• Professional Development

• Innovative Environment

Experience Requirements:

• Experience with ML algorithms

• Knowledge of natural language processing

• Familiarity with AI tools

Benefits:

• Flexible Work

• Professional Development

• Innovative Environment

Experience Requirements:

• Experience with modern web development

• Knowledge of software architecture

• Passion for clean code and best practices