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Prompt Engineer
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
Benefits:
Stock options (based on seniority level)
Learning and development
Health, dental, and vision insurance
Paid time off
Paid parental leave Wellness Coverage Referral bonus program
Responsibilities:
Design, test, and refine LLM prompts to optimize response quality, consistency, and accuracy.
Experiment with prompt structures, context injection, and retrieval-augmented generation (RAG) to improve model outputs.
Develop prompt evaluation frameworks, incorporating quantitative and qualitative assessments.
Analyze AI responses for hallucinations, biases, inconsistencies, and improve prompt structures accordingly.
Collaborate with AI engineers, product managers, and UX designers to align AI-generated outputs with business and user needs.
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Senior AI Engineer – LLM Pipelines & Automation
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
Benefits:
Stock options (based on seniority level)
Learning and development
Health, dental, and vision insurance
Paid time off
Paid parental leave Wellness Coverage Referral bonus program
Responsibilities:
Own the end-to-end LLM pipeline, ensuring scalability, maintainability, and documentation.
Design and optimize LLM inference pipelines for production, ensuring scalability and reliability.
Profile and optimize model performance based on speed, cost, and compute resource utilization.
Work with cloud-based AI services (AWS, GCP, Azure) to manage compute resources efficiently.
Monitor and log model performance, identifying areas for optimization.
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Senior AI QA Engineer
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
Benefits:
Stock options (based on seniority level)
Learning and development
Health, dental, and vision insurance
Paid time off
Paid parental leave Wellness Coverage Referral bonus program
Responsibilities:
Develop and execute AI model evaluation strategies, ensuring accuracy, consistency, and fairness.
Implement automated and manual testing for LLM-based applications.
Collaborate with the AI Engineer to integrate testing into early-stage development.
Build and manage test datasets, ensuring high-quality, diverse, and balanced samples.
Develop synthetic data pipelines to enhance model evaluation.
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Senior Full Stack Engineer
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
Benefits:
Stock options (based on seniority level)
Learning and development
Health, dental, and vision insurance
Paid time off
Paid parental leave Wellness Coverage Referral bonus program
Responsibilities:
Design and implement large-scale features across both front-end and back-end systems
Collaborate with product managers, designers, and engineers to translate business requirements into effective solutions
Write high-quality, maintainable code that meets industry best practices
Troubleshoot and resolve issues to ensure a seamless user experience
Build and maintain scalable web applications using React and Node.js
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Data Engineer
Krisp is an AI-powered tool that removes background noise and offers voice enhancement features for clearer communication during online meetings and calls.
Benefits:
Stock options (based on seniority level)
Learning and development
Health, dental, and vision insurance
Paid time off
Paid parental leave Wellness Coverage Referral bonus program
Responsibilities:
Contribute to our existing Data Infrastructure
Design and implement scalable data pipelines and ETL processes
Participate in Data Warehouse creation and maintenance
Develop data interfaces for downstream users
Optimize existing data pipelines
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Implementation Engineer
Forethought is an AI platform transforming customer service. It offers Solve, Triage, Assist, and Discover to streamline CX, maximize ROI, and improve agent productivity and customer retention.
Education Requirements:
Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field.
Experience Requirements:
Proven experience in technical consulting, implementation, or deployment roles within the SaaS industry.
Strong understanding of software deployment methodologies, system integration, and configuration best practices.
Experience working with customer support tools such as ZenDesk, SalesForce, Shopify, or similar platforms is preferred but not essential.
Responsibilities:
Lead the installation, configuration, and deployment of our solution according to client specifications and project timelines.
Conduct thorough assessments of client systems, workflows, and integrations to ensure seamless integration with our platform.
Work closely with clients to provide guidance, training, and support during the implementation process, ensuring a smooth transition and adoption of our solution.
Troubleshoot technical issues and resolve challenges encountered during the implementation phase, escalating to internal teams as needed.
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DevOps Engineer
E42 is an AI-powered intelligent enterprise process automation platform that allows you to build and deploy AI co-workers to handle complex tasks across industries and functions.
Experience Requirements:
0 - 2 years
Responsibilities:
Install and configure Linux Systems
Work on Kubernetes cluster creation and management
Assist developers to setup their Kubernetes environment
Responsible for containerizing applications
Perform system maintenance Create system backups Monitor system performance Monitor running services on system Experience of installing any web server or maintenance of web server Experience of handling any publicly accessible server (application that is hosted on this server) Provide technical support and guidance Maintain security and compliance for our infrastructure within the parameters set forth by our security team Troubleshoot and resolve issues related to our technologies Automate tasks that will increase the efficiency and velocity of our daily workflow
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Full-Stack Developer
E42 is an AI-powered intelligent enterprise process automation platform that allows you to build and deploy AI co-workers to handle complex tasks across industries and functions.
Experience Requirements:
2-5 years
Responsibilities:
Design, develop, and maintain scalable full-stack applications
Develop robust back-end services and APIs using Python frameworks like Django (DRF), FastAPI good to have
Implement and manage databases including MySQL, PostgreSQL, or MongoDB
Basic front-end collaboration: Work alongside UX team to implement designs in React, ensuring the final product matches our vision
Design user-centric interfaces: Create visually appealing and highly functional user interfaces that enhance the user experience Collaborate with cross-functional teams: Work with product managers, developers, and other stakeholders to understand project requirements and translate them into design solutions Prototyping & wireframing: Develop wireframes, prototypes, and mockups to communicate design concepts effectively with the help of UX team Design system management: Contribute to and maintain our design system to ensure consistency across product. User research: Conduct user research and testing to gather feedback and iterate on designs for continuous improvement Optimize applications for maximum performance, scalability, and security Write clean, maintainable, and well-documented code Troubleshoot, debug, and enhance existing systems
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QA Engineer
E42 is an AI-powered intelligent enterprise process automation platform that allows you to build and deploy AI co-workers to handle complex tasks across industries and functions.
Experience Requirements:
2 – 4 years
Responsibilities:
Design, develop, and execute test cases for functional, integration, and regression testing
Design and develop the test automation framework Constantly evaluate the test automation strategy and approach to identify areas of improvement (i.e., test automation frameworks, coding standards, etc.) Build and maintain efficient test frameworks and pipelines for performance, stress, and integration tests Closely coordinate with the delivery team and share detailed test reports, communicate test progress, risks, including defect reports and test execution summaries Govern the adherence to the quality practices and address any impediments Designing methods for the creation of effective test data Identify what tools and technologies can be implemented, aligning with that already used across the broader development function and in-line with the skillset of the team Possess broad awareness of testing approaches, practices, and techniques to help design and deliver the overall testing methodology used by the team Perform usability testing to evaluate the user experience of the application Participate in planning, grooming, and review meetings and ensure adherence to QA best practices and contribute to continuous improvement initiatives
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AI Data Engineer
AI tool to generate product photos and videos, replacing traditional photoshoots with instant, studio-quality visuals at a fraction of the cost.
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AI Data Engineering Lead
AI tool to generate product photos and videos, replacing traditional photoshoots with instant, studio-quality visuals at a fraction of the cost.
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Member of Technical Staff - Infrastructure & Data
AI tool to generate product photos and videos, replacing traditional photoshoots with instant, studio-quality visuals at a fraction of the cost.
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Head of Product Engineering
AI tool to generate product photos and videos, replacing traditional photoshoots with instant, studio-quality visuals at a fraction of the cost.
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Senior Software Engineer
AI tool to generate product photos and videos, replacing traditional photoshoots with instant, studio-quality visuals at a fraction of the cost.
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Team Lead - Software Engineering
Quench is a workplace AI assistant connecting to your internal tools so teams can search, chat and get precise answers from your company knowledge in seconds. It offers enterprise-grade security.
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.
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Software Development Engineer
AI-powered medical scribe & coding engine to regain your time and increase revenue. On average accurate coding leads to over 10% higher reimbursement rates!
Education Requirements:
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Experience Requirements:
1+ year of professional experience as a Software Development Engineer or a similar role.
Responsibilities:
Collaborate with cross-functional teams to design, develop, and deploy web applications using ReactJS and Django frameworks.
Implement responsive user interfaces that meet the requirements and design specifications.
Write efficient, reusable, and scalable code using best practices and coding standards.
Integrate backend services and databases with the frontend using RESTful APIs.
Stay updated with the latest industry trends and best practices in ReactJS, Django, and NLP.
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Senior Software Engineer, AI Products
Webflow Optimize maximizes conversions with rapid insights, tailored visitor experiences, and AI-powered delivery. Run experiments quickly, deliver custom experiences, and use AI for faster results.
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.
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Associate, Machine Learning Engagement Management
AI decisioning platform for lifecycle marketing. Personalize customer interactions to maximize business metrics.
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
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Forward-Deployed AI Engineer
AI decisioning platform for lifecycle marketing. Personalize customer interactions to maximize business metrics.
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
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Forward-Deployed AI Engineer
AI decisioning platform for lifecycle marketing. Personalize customer interactions to maximize business metrics.
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
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