AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Staff Software Engineer
Radiant Security offers an AI-driven SOC automation platform that triages alerts, investigates impact, and generates tailored responses. It integrates with existing security systems and provides comprehensive security operations.
Benefits:
Generous equity package
Unlimited PTO (take time when you need it)
Top-of-market salary
Great healthcare
401k
Experience Requirements:
An incredibly strong engineer with years of experience building complex backend applications.
Strong experience of distributed systems and techniques for building fault-tolerant, high-availability platforms.
Experience with ML algorithms, Real-time Analytics or LLMs (AI experience not required)
Other Requirements:
Ability to roll up your sleeves and get things done.
A great communicator and team player.
Responsibilities:
Integrate the LLMs against hundreds of external data sources (easily surpassing terabytes per customer).
Scale out the data platform at all levels (ingest, search, storage, aggregation and reporting).
Leverage retrieval-augmented generation (RAG) to improve the consistency of AI outcomes and avoid duplicate inference.
Improve our Agentic AI services as well as the platform they run on
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Software Engineer
Radiant Security offers an AI-driven SOC automation platform that triages alerts, investigates impact, and generates tailored responses. It integrates with existing security systems and provides comprehensive security operations.
Benefits:
Health Insurance (Safety Wing)
Stay Healthy subsidy (for gym and sports)
Unlimited PTO
Paid Paternity and Maternity Leave
Enjoy your local holidays in Brazil!
Experience Requirements:
Experience with different sorts of integration methods like REST, Webhooks, etc.
Solid programming skills in Python or Javascript (nodejs).
Familiarity with cloud infrastructure (AWS, GCP, or Azure) and their respective services (e.g., S3, SQS).
Knowledge of distributed systems and techniques for building fault-tolerant, high-availability platforms.
Strong understanding of various database and search technologies (e.g. SQL, ElasticSearch, MongoDB).
Other Requirements:
Proficiency in English (at least advanced level) for effective communication and collaboration within the team.
Responsibilities:
Build business logic for all connector types (e.g. webhook, polling, syslog, etc.) and contribute to various design patterns to make this easier.
Monitor, troubleshoot, and enhance the performance of connectors, ensuring minimal downtime and high reliability.
Collaborate with engineering and product teams to refine technical requirements for product asks and right-sizing engineering solutions to meet them.
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Site Reliability Engineer
Tyk AI Studio provides governance, security, and control for organizations adopting AI. It includes an AI gateway and management suite for LLMs and other AI tools, plus MCP support.
Benefits:
unlimited paid holiday
Employee share scheme
Generous maternity and paternity leave
Company retreats
Experience Requirements:
Strong collaboration skills
Launching and operating production scale kubernetes clusters
Designing and operating infrastructure on AWS and other providers
Operating MongoDB (or other document database) clusters
Operating Redis (or other key-value storage) clusters
Responsibilities:
Maintaining global Tyk Cloud within SL(A/I/O)s you will help to define
Identifying reliability issues and working together with your squad to solve them
Identifying and introducing new metrics and building relevant dashboards
Participating in the on-call rotation
Working with your squad to expand multi-region and multi-cloud reach of the platform
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Senior Customer Success Engineer
Tyk AI Studio provides governance, security, and control for organizations adopting AI. It includes an AI gateway and management suite for LLMs and other AI tools, plus MCP support.
Benefits:
unlimited paid holiday
Employee share scheme
Generous maternity and paternity leave
Company retreats
Experience Requirements:
Experience providing technical support for a complex product
Experience working collaboratively with core engineering teams
Experience with REST calls
Enthusiasm for dealing directly with clients
Responsibilities:
Leading the task management for a regional cohort of success engineers, acting as an escalation point
Developing your regional cohort via pairing on complex issues to build knowledge across your cohort
Answering complex technical customer tickets and requests, often involving troubleshooting, reading source code and supporting customers over screen shares/calls
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Linux Systems Engineer
Tyk AI Studio provides governance, security, and control for organizations adopting AI. It includes an AI gateway and management suite for LLMs and other AI tools, plus MCP support.
Benefits:
unlimited paid holiday
Employee share scheme
Generous maternity and paternity leave
Company retreats
Experience Requirements:
Github actions
(C)Go development with Linux toolchain
Packaging (rpm, deb)
Responsibilities:
Working closely with QA to develop solid test frameworks
Release engineering and associated infrastructure
Platform engineering tooling
Developing, championing and embedding best in class frameworks and practices into our squads via a consultative approach
Automation for k8s, AWS and DO assets
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Enterprise Presales Engineer – US/Canada
Tyk AI Studio provides governance, security, and control for organizations adopting AI. It includes an AI gateway and management suite for LLMs and other AI tools, plus MCP support.
Benefits:
unlimited paid holiday
Employee share scheme
Generous maternity and paternity leave
Company retreats
Education Requirements:
Bachelor’s Degree (Computer Science or Engineering preferred)
Experience Requirements:
Proven customer facing engineering experience
Pre sales Consulting experience
Development or Infrastructure or project lifecycle management experience
Enterprise Level IT Project delivery
Stakeholder management
Responsibilities:
Work with the sales team to meet and exceed team sales quotas and OKRs
Gather, understand, and develop customer requirements for API Gateway & Management platform.
Act as a trusted advisor to prospects, guiding them on overall API strategies and tactics to leverage Tyk’s unique perspective on API Management.
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Back-End Software Engineer
Pictor Labs advances AI-powered virtual staining technology to revolutionize histopathology and accelerate clinical research with services like DeepStain and ReStain.
Education Requirements:
Bachelor’s degree (Master’s Degree preferred) in the field of Computer Science, Mathematics, or in a related field
Experience Requirements:
Minimum of ten (10) years of software development experience, with at least six (6) years of that being with complex software systems
6+ years experience with architecting complex, high-scale web applications and data solutions
5+ years experience with medical device software development with focus on cybersecurity and information security implementation.
8+ years experience with at least two of the following programming languages: ReactJS, Node.JS, Nest.JS, Python, Rust and C++
6+ years experience with cloud computing such as AWS, Azure, etc.6+ years experience with AWS services such as Kafka, EC2, S3, MSK, ECR, EKS6+ years experience with database design and implementation10+ years experience with agile software development principles and practices5+ years experience test automation using test frameworks such as Selenium, Cucumber, etc.5+ years experience with CI/CD utilizing containerized deployment tools such as Dockers and Kubernetes.3+ years experience with machine learning and working with data scientists to build applications that make use of the power of machine learning and AI
Responsibilities:
Design, build and maintain backend and frontend web-based software applications
Work with Manager of India Engineering on software architecture and design
Strive for high quality outcomes, continuously look for ways to improve team productivity and product reliability, performance, and security
Work with both backend and frontend technologies such as
Automate unit and integration tests within a CI/CD pipelinePartner with other engineering teams to deliver best solutionsEnsures software standards are metEnsure that the feature(s) work across multiple releases of the softwareWork within the Pictor Labs organization to ensure consistent, high-quality deliveriesDevelop architecture, design and code based on the specificationsPrepare software verification plans and quality assurance proceduresContinually strive for increased efficiency, maintainability, and qualityIntegrate software components into a fully functional software systemBuild and Support – embrace the DevOps mentality to build, deploy and support applications in the cloud with minimal help from other teamsWork with software and product management teams to translate requirements into design.
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Junior Full-Stack Engineer - AI & Growth Automation
LTV.ai increases email & SMS sales using AI for personalized messaging, product recommendations, and proactive customer engagement, leading to higher customer lifetime value.
Experience Requirements:
2+ years of experience in our stack
1+ year of experience in our industry (ecommerce / email marketing)
Excitement about using AI coding tools to increase productivity (e.g. Cursor, Windsurf, Copilot)
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Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
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Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
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Founding Software Engineer – GPU & Compilers (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
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GPU & Compiler Software Engineer
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Other Requirements:
Must be available to work onsite at our brand-new London office
Responsibilities:
Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.
Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.
Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.
Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.
Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.
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ML Research Engineer
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
competitive compensation
attractive equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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ML Research Engineer (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
Competitive compensation
including an early-stage startup equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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ML Research Engineer (relocation to London)
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. They are redesigning how machines learn from the ground up.
Benefits:
Competitive compensation
including an early-stage startup equity package
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).
Other Requirements:
Must be available to relocate and work onsite at our brand-new London office
Responsibilities:
Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.
Translating complex theoretical insights into scalable, efficient coding implementations.
Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.
Building robust experimentation platforms for large-scale training and evaluation of models.
Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.
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CTO
Koko is a nonprofit providing free, evidence-based mental health interventions for youth through digital platforms. They detect negative signals online and redirect to helplines and support resources.
Benefits:
Comprehensive health, dental, and vision insurance
Flexible hours
fully remote
international offsites
no-meeting Fridays
Experience Requirements:
Proven track record of independently building and shipping full-stack applications that solve real user needs, with a focus on product-market fit and user outcomes.
Strong foundation in data science and machine learning, with experience using data to drive product decisions, design and analyze A/B tests, and measure impact.
Deep understanding of modern AI capabilities and limitations, balanced with pragmatic product sense - you know when AI adds genuine value versus when simpler solutions would better serve users.
Experience navigating complex ethical considerations in technology, particularly around safety, privacy, and responsible AI deployment.
Demonstrated ability to move quickly and innovate while maintaining rigorous standards for safety and efficacy, especially when serving vulnerable populations
Responsibilities:
Build and evolve our platform architecture, creating interfaces and systems that effectively combine AI capabilities with intuitive user experiences.
Design and implement robust experimentation frameworks to continuously measure and improve the effectiveness of our services.
Drive product decisions through data analysis, translating insights into features that measurably improve mental health outcomes.
Ship and iterate on production features across our platform ecosystem (TikTok, Discord, etc.), directly impacting millions of young people.
Advance the field of AI and digital mental health by contributing to peer-reviewed research and open-source initiatives, sharing insights that can help the broader community.
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Electrical Design Engineer (m/f/d) automation technology for AI-based recycling plants
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy
Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Completed studies or technician training in a relevant field (e.g. electrical engineering, mechatronics)
Experience Requirements:
Completed studies in electrical engineering, mechatronics or robotics Min. 3 years of relevant professional experience
2 years of relevant professional experience
Responsibilities:
Creation and adaptation of electrotechnical circuit diagrams in E-Plan
PLC programming with Beckhoff
Creation and maintenance of parts lists
Selection, testing and use of electronic components and sensors (cameras, X-ray technology, pneumatics, robots)
Creation of installation and test instructions and acceptance protocols Technical coordination with suppliers and customers Conception & design of new AI-based sorting systems in coordination with mechanical design Prototype construction for new AI-based recycling machines Commissioning of new systems
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Data Engineer AI-based Recycling (m/f/d)
WeSort.AI provides AI-powered solutions for granular analysis and sorting of waste objects, enabling efficient and cleaner recycling.
Benefits:
Working in a young and interdisciplinary start-up team
Lots of responsibility and creative freedom right from the start
clear career plan with defined goals
Exploring the future fields of “artificial intelligence” and “circular economy”
Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere
Education Requirements:
Master's degree or PhD in computer science, data science, artificial intelligence or a related field
Experience Requirements:
5 years of proven experience in the development of complex software projects
Experience in building and maintaining data pipelines and cloud training environments, preferably with Microsoft Azure Experienced in the independent development of software projects
Relevant professional experience in creating datasets
Responsibilities:
Design and construction of data pipelines to automate the collection, processing, and provisioning of image and video data
Implementation of data extraction methods from diverse sources such as sensors, cameras, and online databases
Development of algorithms and routines for data cleaning and preprocessing, including normalization, scaling, noise reduction, contrast adjustment, and geometric transformations to optimize image quality
Application of specific image preprocessing techniques, such as histogram equalization, sharpening, rectification, and color space conversion prior to data transmission to maximize visual data quality and enhance analytical accuracy Annotation and labeling of image and video data with precise tags to support object detection and segmentation models Creation and management of specialized datasets for validation and testing to assess model generalization and performance Automation of data cleaning and annotation processes using modern scripting languages to improve efficiency and accuracy Implementation of data transfer and storage processes for efficient handling of large datasets, including the application of image compression techniques to minimize storage requirements without compromising quality Monitoring and optimization of data pipeline performance to prevent bottlenecks and increase data processing speed Development of error-handling strategies and monitoring of data quality to ensure data integrity and system reliability Documentation of data processing workflows, methods, and tools to ensure transparency and traceability for all stakeholders
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AI Test Engineer
Prisma AI is a global pioneer in visual artificial intelligence, specializing in computer vision solutions and real-time video monitoring through its proprietary Gryphos platform.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields.
Experience Requirements:
2.5 to 4 years
2 years of experience in computer vision and/or deep learning or AI testing or Quality assurance.
Other Requirements:
ISTQB certified Tester.
ISTQB Certified AI Tester.
Responsibilities:
Collaborate with the AI test team to plan and execute test plans, test cases, and test scenarios specifically tailored for AI systems.
Implement quality assurance standards within the context of AI testing to ensure the accuracy, reliability, and performance of AI solutions.
Design and implement benchmarking tests to evaluate the performance of AI systems against industry standards and competitors.
Develop, execute, maintain, and enhance Automated Test Frameworks and Scripts dedicated to testing AI components, leveraging relevant AI tools and Deep learning frameworks.
Accurately report and track defects and issues related to AI testing, including writing detailed benchmarking /bugs reports and verifying fixes in collaboration with the development team.
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Senior Mechanical Engineer
Nimble provides fully autonomous fulfillment solutions using AI-powered robots, offering fast, scalable, and sustainable 3PL services.
Benefits:
Flexible PTO
Health Insurance
Paid Parental Leave
Commuter Benefits
Gym Reimbursement/Wellness Program/Fitness Reimbursement/Health and Wellness Program Reimbursement/Gym Membership Benefit/Wellness Benefit/Exercise Benefit/Fitness Benefit/Wellbeing Benefit/Wellbeing Program/Fitness Program/Health Program/Health and Fitness Program/Mental Health Program/Mental Wellness Program/Health and Wellness Initiatives/Wellness Initiatives/Health Initiatives/Fitness Initiatives/Wellbeing Initiatives/Health and Wellbeing Program/Fitness and Wellness Program/Health and Fitness Initiatives/Wellness and Fitness Initiatives/Health and Wellbeing Initiatives/Fitness and Wellness Initiatives/Health and Wellness Benefits/Wellness and Fitness Benefits/Health and Wellbeing Benefits/Fitness and Wellness Benefits/Health and Wellness Perks/Wellness and Fitness Perks/Health and Wellbeing Perks/Fitness and Wellness Perks/Health and Wellness Stipend/Wellness and Fitness Stipend/Health and Wellbeing Stipend/Fitness and Wellness Stipend/Health and Wellness Allowance/Wellness and 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Education Requirements:
BS/MS/Ph.D. in Mechanical Engineering or a related discipline, or equivalent experience.
Experience Requirements:
5+ years of industry mechanical engineering experience
CAD expert (3+ yrs in Solidworks preferred)
Machine design experience is required for this role
Extensive Mechatronics skills, specializing in actuation & sensing
Experience with FEA, vibration analysis, risk analysis
Other Requirements:
Willing to work extended hours and weekends if needed
Responsibilities:
Generate new concepts to solve our real world challenges.
Create reliable and scalable designs and concepts.
Design and implement specifications for life-cycle testings
Design components for manufacturing and assembling
Provide input on all aspects of product development from brainstorming to final delivery.
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