AI Jobs

Benefits:

• 401(k)

• Health insurance

• Life insurance

• Paid time off

• Employee assistance program

Education Requirements:

• BS in Computer Science or related field

Experience Requirements:

• 7+ years building production-grade backend systems in Python

• Experience working with Django and Celery

• Built and deployed WebSocket and event-based communication layers

• Proficient in at least one NoSQL database

• Experience with production monitoring and observability platforms

Other Requirements:

• Must be a US Citizen or Green Card Holder and live in the United States

• Track record working in fast-paced startup environments

• Comfortable leveraging AI tools in the development lifecycle

Responsibilities:

• Design and build scalable microservices, RESTful APIs, and WebSocket-based systems

• Manage and optimize NoSQL-backed data storage for performance and reliability

• Develop backend services for real-time communication and high-throughput ETL

• Implement monitoring, tracing, and alerting for production systems

• Champion code quality through TDD, CI/CD pipelines, and effective code reviews

Benefits:

• Fully remote and distributed team

• MOSTLY AI Phantom Stock Option Plan

• Home office support (€1,000 allocation)

• Monthly lunch stipend (€100)

• Individual training budget

Experience Requirements:

• Passionate about your work

• Desire to learn and grow

• Thrive in a collaborative and fast-paced environment

Other Requirements:

• Permanent employee status

• Candidates based in EMEA region

• Interest in Generative AI and data privacy

Responsibilities:

• Submit an open application for future consideration

• Provide profile details for potential matchmaking

• Contribute to a future where data empowers everyone

• Join the team at the forefront of Generative AI

• Bring Data Intelligence for Everyone to life

Benefits:

• Competitive salary

• Meaningful equity

• Substantial bonus for top performers

• Flexible time off

• Comprehensive health coverage

Experience Requirements:

• 5+ years in software/data engineering roles

• Strong Python skills

• Experience building scalable data pipelines

• Hands-on with Apache Iceberg/Delta Lake

• Workflow orchestration expertise (Airflow)

Other Requirements:

• Customer-facing skills

• Thrives in fast-paced startup environments

Responsibilities:

• Build backend APIs and scalable data pipelines

• Work with lakehouse tech (Iceberg, Snowflake)

• Orchestrate workflows and optimize big data frameworks

• Manage infrastructure as code (Terraform)

• Collaborate with customers to solve data challenges

Benefits:

• Competitive salary and comprehensive benefits

• Flexible working hours and remote work opportunities

• A dynamic and friendly work environment

• Opportunities for professional development and career progression

• Company-sponsored learning initiatives and tech conferences

Experience Requirements:

• 7+ years of professional experience as a Full Stack Developer or similar role

• Strong knowledge of JavaScript, TypeScript, and Python

• Experience with SQL databases and Object-Relational Mapping (ORM) frameworks

• Proficiency in version control systems like Git

• Knowledge of agile development methodologies

Other Requirements:

• Strong problem-solving abilities and capacity to work independently as well as in a team

• Excellent communication and teamwork skills

• Proven experience in leading projects and effectively communicating with cross-functional partners

• Deep understanding of automation tools and frameworks

• Experience with Supabase for data storage, user authentication, and serverless cloud functions

Responsibilities:

• Designing and building high-quality, efficient, and reusable back-end systems and APIs

• Crafting an intuitive and interactive UI using ReactJS

• Managing all phases of the software development life cycle

• Collaborating closely with Product and Design teams to translate end-user requirements into practical software solutions

• Leading, mentoring, and supporting other team members

Benefits:

• Competitive compensation package

• Flexible work environment with opportunities for remote work

• Professional development and training opportunities

• Potential for growth and advancement within the organization

• Access to a vibrant and inclusive company culture

Other Requirements:

• exceptional talent

• passionate about making a difference and driving impact

• share our values and vision for the future

Responsibilities:

• Contribute to our mission of improving the user experience of the Internet

• Driving impact

Benefits:

• Equity

• Benefits

Education Requirements:

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

Experience Requirements:

• Minimum of 8+ years of experience in software infrastructure for large scale AI systems

Other Requirements:

• Debugging and triaging AI applications

• Observability platforms (ELK, Prometheus, Loki)

• Python, C/C++, script languages

• CI/CD and defensive programming

Responsibilities:

• Develop infrastructure software for pre-training and inference

• Optimize tools to improve efficiency and resiliency

• Co-design and implement APIs for resiliency stacks

• Enhance products underpinning NVIDIA's AI platforms

• Define actionable reliability metrics

Experience Requirements:

• 5+ years of professional experience

• Proven understanding and ability to write complex prompts

• Hungry, curious, and consultative mindset

• Strong problem-solving skills with the ability to adapt to scenarios

• Excellent communication skills

Other Requirements:

• Product sense and ability to drive a product’s full potential capabilities

Responsibilities:

• Engage with executive sponsors and provide strategic reviews

• Consult customers on developing and executing on their AI roadmap

• Conduct use case discovery workshops and turn those use cases into tangible outcomes

• Collaborate internally with Product and R&D to help shape product roadmap

• Proactively identify opportunities to expand Glean’s deployment

Benefits:

• Variable compensation

• Equity

• Benefits

Experience Requirements:

• 5+ years of professional experience in roles that blend business and technology

• Demonstrated ability to craft effective prompts and guide AI agents

• Understanding of what current LLMs can and cannot do

• Product sense and user empathy

• Hands-on experience with modern AI platforms and tools

Responsibilities:

• Partner with executive sponsors and end users to identify high‑impact use cases

• Lead strategic reviews and advise customers on their AI roadmap

• Translate business needs into clear problem statements, success metrics, and practical AI solutions

• Conduct discovery workshops, scope pilots, and guide rollouts

• Design and build AI agents with and for customers

Experience Requirements:

• 3 to 5 years of professional experience

• Hungry, curious, and consultative mindset

• Strong problem-solving skills

• Proven understanding and ability to write complex prompts

• Excellent communication skills

Responsibilities:

• Engage with executive sponsors and provide strategic reviews

• Consult customers on developing and executing on their AI roadmap

• Conduct use case discovery workshops and turn those use cases into tangible outcomes

• Collaborate internally with Product and R&D to help shape product roadmap

• Proactively identify opportunities to expand Glean’s deployment

Experience Requirements:

• 3 to 5 years of professional experience

• Fluency in English

• Hungry, curious, and consultative mindset

• Strong problem-solving skills

• Proven understanding and ability to write complex prompts

Responsibilities:

• Engage with executive sponsors and provide strategic reviews

• Consult customers on developing and executing on their AI roadmap

• Conduct use case discovery workshops and turn those use cases into tangible outcomes

• Collaborate internally with Product and R&D to help shape product roadmap

• Proactively identify opportunities to expand Glean’s deployment

Experience Requirements:

• 2+ years of professional experience

• Hungry, curious, and consultative mindset

• Strong problem-solving skills

• Proven understanding and ability to write complex prompts

• Excellent communication skills

Responsibilities:

• Engage with executive sponsors and provide strategic reviews

• Consult customers on developing and executing on their AI roadmap

• Conduct use case discovery workshops and turn those use cases into tangible outcomes

• Collaborate internally with Product and R&D to help shape product roadmap

• Proactively identify opportunities to expand Glean’s deployment

Benefits:

• Medical, Vision, and Dental coverage

• Generous time-off policy

• 401k plan

• Home office improvement stipend

• Annual education and wellness stipends

Education Requirements:

• Must hold AWS Certified Cloud Practitioner, Microsoft Certified Azure Fundamentals, or Google Cloud Digital Leader certification

Experience Requirements:

• 3+ years of experience in technical deployment, implementation, or technical account management

• Strong understanding of software development life cycles (Agile and DevOps)

• Proven experience serving enterprise clients

• Experience with process documentation and playbooks

• Excellent analytical and problem-solving skills

Other Requirements:

• Role is remote in the US in either the East or Central timezones

Responsibilities:

• Lead and orchestrate successful implementations and long-term customer engagements

• Primary lead on new customer deployments including SSO and connectors setup

• Own end-to-end delivery from kickoff to go-live through renewal

• Create and execute joint success plans driving adoption and engagement

• Monitor and report on deployment progress and adoption metrics

Benefits:

• Exposure to diverse clients and projects

• Transparency and honesty in internal processes

• Flexible working hours

• Ability to work remotely

• B2B contract or incubator employment

Experience Requirements:

• 3+ years of JavaScript frameworks (React, Vue etc.)

• Experience developing Node JS applications

• Knowledge of design patterns and OOP

• Typing skills (HTML5, CSS3)

Other Requirements:

• Fluent English (B2+)

• Enthusiasm for product responsibility

Responsibilities:

• Develop full-stack business applications (CRM/ERP)

• Collaborate with global clients on custom projects

• Full-stack development using React and Node.js

Experience Requirements:

• Experience shipping an AI-powered system or feature to production

• Experience making technical tradeoffs when building or scaling systems

Other Requirements:

• Authorized to work in the United States without employer sponsorship

Benefits:

• Choice of Medical plans

• Dental and vision insurance

• Patient advocacy program

• FSA (Flexible Spending Account)

• Short- and long-term disability plans

Education Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, IT or a related technical field

• Master’s degree (Alternative)

Experience Requirements:

• 6 years of experience as Data Scientist (or 3 years with Master's degree)

• 3 years of experience consulting with customers on end-to-end data science solutions

• 3 years of experience building and implementing machine learning or AI models into production

• Experience with predictive modeling and complex statistical analysis

• Experience building end-to-end AI solutions including problem framing and data preparation

Other Requirements:

• Ability to develop predictive models and AI algorithms across various industries

• Expertise in integrating models into client environments

• Ability to solve complex data science problems by building end-to-end AI solutions

Responsibilities:

• Develop and execute end-to-end enterprise-grade AI solutions for customers

• Serve as a Data Science technical expert during customer engagements

• Conduct proof-of-concept and proof-of-value trials

• Carry out AI implementation and operationalization

• Train end users and guide clients on evaluating success criteria

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Strong Computer Science fundamentals

Experience Requirements:

• 5-7+ years of proven experience writing high-quality code in Python

• Deep experience with automated testing and test-driven development

• Knowledge of software architecture for large systems

• Expert proficiency in Kubernetes architecture and operations

• Hands-on experience with Infrastructure as Code (IaC) principles

Other Requirements:

• Ability to troubleshoot complex production environments at the application and DB level

• Experience with agentic AI (Nice to have)

Responsibilities:

• Lead the technical design and implementation of projects

• Mentor other engineers and provide constructive feedback in code reviews

• Design and build robust, scalable application-level software

• Ensure microservices are secure, performant, and deployable

• Collaborate with product managers and data scientists

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• BA/BS preferred in a technical or engineering field

Experience Requirements:

• 5-7 years of experience in a data engineering or data analyst role

• Experience building and maintaining product analytics pipelines

• Strong understanding of data warehousing concepts and SQL

• Experience working with cloud providers (AWS, Azure, GCP)

• Solid programming foundations and proficiency in Python, Scala, or R

Other Requirements:

• AWS cloud certification is a plus

Responsibilities:

• Architect and deliver scalable, reliable data warehouses and analytics platforms

• Partner with Product Manager to shape project roadmap

• Develop, deploy, and support analytic data products like data marts

• Instrument telemetry capture and data pipelines

• Maintain and support deployed ETL pipelines and ensure data quality

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 8+ years of experience

• Expert in developing software with Python (5+ years)

• Expert proficiency in Kubernetes architecture and operations

• Experience designing and operating diverse CI/CD pipelines with Harness.io

• Experience with gpu clusters or multi-node AI/ML

Other Requirements:

• CKAD (Certified Kubernetes Application Developer) certification (Nice to have)

• Agentic AI experience (Nice to have)

Responsibilities:

• Build systems ensuring micro-services are secure and performant

• Develop systems to right-size computing resources for Kubernetes

• Design and architect automated quality platforms

• Set roadmaps and define milestones for platform engineering

• Establish continuous delivery and performance requirements

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 3-5 years of experience managing large-scale, high-availability database systems

• Experience with PostgreSQL and MongoDB in cloud environments

• Experience with Kubernetes & Helm

• Experience with streaming replication or MongoDB sharding

• Experience with administration, automation, and troubleshooting

Other Requirements:

• Enthusiasm to manage stateful infrastructure

• Proficiency in Bash and Python for automation

Responsibilities:

• Design and maintain database infrastructure using StatefulSets and Operators

• Own the deployment lifecycle for database clusters

• Proactively monitor performance, security, and availability

• Perform zero-downtime upgrades and migrations

• Manage and optimize performance for backend data stores

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 7+ years of engineering experience

• 2+ years in infrastructure, platform, or backend systems roles

• Deep expertise in Kubernetes internals and operations

• Strong proficiency in modern programming languages such as Python or Go

• Strong experience with Helm and CI/CD automation

Other Requirements:

• Ability to influence without authority

• Experience with performance tuning for large-scale data workloads

Responsibilities:

• Architect and implement scalable Kubernetes-based infrastructure

• Lead technical direction for core Fleet initiatives

• Mentor engineers across the team

• Drive modernization efforts introducing patterns like GitOps

• Collaborate with SRE, Platform, and Application teams