About Mistral At Mistral AI, we harness the transformative power of artificial intelligence to simplify processes, save valuable time, and foster creativity and learning. Our innovative technology is engineered to seamlessly integrate into everyday workflows.We are committed to democratizing AI through high-performance, optimized, open-source models, products, and solutions. Our comprehensive AI platform is tailored to meet the diverse needs of enterprises, whether deployed on-premises or in the cloud. Our flagship offering includes le Chat, the AI assistant designed for both personal and professional use.We pride ourselves on being a dynamic and collaborative team, passionate about AI's potential to revolutionize society. Our diverse workforce thrives in competitive environments and is dedicated to driving innovation. With teams distributed across France, the USA, the UK, Germany, and Singapore, we embody creativity and teamwork with a low-ego approach.Join us as we pioneer the future of AI and make a meaningful impact together. To learn more about our unique culture, visit https://mistral.ai/careers.Role Summary: AI Deployment StrategistAs an AI Deployment Strategist, your primary focus will be to facilitate the adoption and deployment of Mistral’s AI solutions, collaborating closely with clients from the initial strategic vision through to production implementation. This pivotal role exists at the intersection of business strategy, AI innovation, and practical deployment, ensuring our clients realize transformative outcomes.You will work alongside senior executives to design tailored AI roadmaps, partner with the Applied AI team to ensure successful solution delivery, and manage seamless transitions from presales to postsales. Your contributions will directly influence customer success, bridging strategy and execution.This position is perfect for individuals who thrive in fast-paced environments, enjoy tackling complex business challenges, and are enthusiastic about translating AI potential into tangible real-world impact.What You Will DoStrategic Discovery & Vision Setting• Facilitate executive-level workshops to uncover business challenges and identify opportunities where Mistral’s AI can drive significant advancements...

Join Celonis, a global frontrunner in Process Intelligence technology, as a Lead AI Deployment Architect. In this pivotal role, you will collaborate directly with clients to identify their unique challenges and architect innovative AI solutions that leverage our advanced Process Intelligence platform. You will be instrumental in both pre-sales and post-sales activities, working alongside a team of AI experts in Product & Engineering to standardize and scale these solutions for our diverse customer base. Your expertise will help transform business operations by integrating AI, data, and intelligence into core processes.

About HappyRobotHappyRobot is a cutting-edge AI-native operating system designed for real-world economies, intricately linking intelligence and action. By integrating real-time insights, specialized AI workers, and orchestrating intelligence, we empower enterprises to navigate complex, mission-critical operations with genuine autonomy.Our innovative AI OS continually compounds knowledge, optimizes processes, and evolves over time. We are initially focusing on supply chain and large-scale industrial operations, where resilience, speed, and ongoing improvement are paramount—liberating human resources to concentrate on strategic, creative, and high-value endeavors.Discover more about our vision in our Manifesto. HappyRobot has successfully raised $62M to date, with a recent $44M Series B round completed in September 2025. Our esteemed investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who are committed to transforming enterprise operations. We are channeling this funding into cultivating a world-class team: individuals with unyielding drive, exceptional problem-solving abilities, and a passion for pushing boundaries in a high-energy environment. If this aligns with your aspirations, you belong at HappyRobot.Role OverviewAs a Deployment Strategist, your mission will be to bridge the gap between user requirements, data insights, and product features, enabling our clients to realize value. You will immerse yourself in customer operations, collaborate directly with end users and decision-makers, and influence the application of HappyRobot’s technology to tackle their most pressing challenges.At HappyRobot, we foster a culture without seniority or hierarchy—we are a collective of builders. We execute, we create, we take ownership, and we deeply care about our customers and their success.What You’ll DoEngage with customers to gain insights into their workflows, objectives, and challenges—often integrating directly with their teams.Collaborate with Forward Deployment Engineers to define, prototype, and implement solutions powered by HappyRobot’s platform.Analyze and interpret key datasets that influence customer decision-making and work towards integrating them into robust and scalable pipelines.Design and enhance user workflows that address significant issues and can be scaled across various teams and functions.Lead training and onboarding sessions to ensure effective adoption and utilization of our solutions.

Join anyone-ai as an AI Software Engineering Trainer, where you will play a pivotal role in shaping the future of AI education. Your expertise in software engineering and AI technologies will help guide aspiring professionals in mastering cutting-edge methodologies.As part of our innovative team, you will be responsible for developing and delivering training programs, creating engaging content, and mentoring participants to achieve their career goals in AI.

Mindrift seeks a Freelance AI Workflow Engineer to join the Tendem project as an AI Pilot. This part-time, remote role centers on building automation systems powered by Large Language Models (LLMs) in collaboration with Tendem Agents, who manage repetitive tasks. The focus is on prompt engineering, workflow design, and maintaining quality throughout each solution. Key Responsibilities Design and evaluate workflows using LLM APIs such as OpenAI, Claude, Gemini, or similar tools. Build and refine automation systems for tasks like content creation, enrichment, and communication. Develop and iterate on prompt frameworks to ensure consistent, high-quality workflow outputs. Create automated outreach systems, including email and messaging flows, and oversee lead enrichment processes. Organize and preprocess data to support stable model performance and reliable results. Review and optimize AI-driven pipelines for scalability, efficiency, and accuracy. Role Fit This freelance position suits professionals experienced in LLM integrations, prompt design, and AI automation. The part-time, remote structure offers flexibility for those with relevant expertise. Location Remote , València, Valencian Community, Spain

Mindrift is seeking talented AI Workflow Engineers to contribute to the Tendem project (https://tendem.ai/), where you will develop intelligent automation systems driven by large language models (LLMs) within a collaborative AI and human environment.In this position, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents responsible for repetitive tasks. Your role will involve applying structured reasoning, prompt engineering skills, and quality assurance to create scalable and dependable AI-enabled workflows.This part-time remote role is perfect for professionals with practical experience in LLM integration, prompt design, and AI-driven automation systems.About MindriftThe Mindrift platform connects experts with AI projects from leading technology innovators. Our goal is to harness the capabilities of Generative AI by leveraging real-world expertise from around the world.Role OverviewThis freelance opportunity within the Tendem project requires you to design, construct, and enhance workflows that incorporate LLM APIs, establishing scalable systems for content generation, communication, and automation.Key ResponsibilitiesDesign and assess workflows that integrate LLM APIs (OpenAI, Claude, Gemini, or similar).Create and enhance AI-powered automation systems for content generation, enrichment, and communication.Develop and optimize prompt frameworks to ensure consistent, high-quality outputs throughout workflows.Establish systems for personalized automated outreach (email, messaging flows, lead enrichment).Structure and preprocess data to guarantee stable model behavior and reliable outputs.Analyze and enhance AI-driven pipelines for scalability, efficiency, and accuracy.

About Prosper AIProsper AI is at the forefront of innovation, specializing in AI Phone Agents designed for the healthcare sector. Our mission is to deliver human-like expertise while dramatically reducing operational costs. Our AI Agents efficiently manage a variety of tasks such as patient outreach, claims status inquiries, benefit verifications, prior authorizations, scheduling, and balance reminders. We are dedicated to eliminating $200 billion in administrative waste, enabling healthcare professionals to devote more time to patient care instead of administrative duties.Your RoleJoin us at Prosper as we redefine the capabilities of real-time AI technology. As a Software Engineer, your primary focus will be on designing and scaling our robust platform, including low-latency speech and LLM pipelines, orchestration layers, and reliability systems that empower our AI voice agents to engage in complex healthcare conversations with clarity and efficiency. This position is a full-time, on-site opportunity based in Barcelona with the potential for relocation to our New York office.Qualifications1-3 years of hands-on experience in developing end-to-end software solutions, from architecture to deployment.Proficiency in technologies that drive our stack, particularly FastAPI (Python) for backend development and React (TypeScript) for frontend.Experience in managing large-scale distributed systems with asynchronous workload orchestration.Familiarity with LLMs, AI agents, or other machine learning models is advantageous; we utilize Pipecat for our voice agents.A founder mindset: take ownership and work diligently, viewing Prosper as a stepping stone to your future entrepreneurial endeavors.Prepared to tackle the complexities of deploying AI voice agents for thousands of daily calls.Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field (or equivalent experience).Interview ProcessInitial conversation to discuss your background, aspirations, and career goals (30 minutes).Completion of a take-home challenge to be reviewed in the subsequent interview.Discussion of your solution with our engineering team to evaluate your approach and thought process.

About AbacumAbacum stands at the forefront of Business Planning solutions for finance teams, empowering them to enhance performance through automation, collaboration, and simplified planning and forecasting. Our innovative platform transitions finance teams from mere number crunching to making strategic business decisions.Founded in 2020 by two former CFOs, our team has expanded to over 100 talented professionals from 30 different nationalities. With our headquarters in New York and additional offices in London and Barcelona, we serve industry leaders like Dish Networks, Strava, BetterUp, Kajabi, JG Wentworth, Abridge, Cortex, among others.Having successfully raised over $100 million, we recently closed our $60M Series B in June 2025, led by Scale Venture Partners, alongside prominent contributions from Cathay Innovation, Y Combinator, Atomico, Creandum, and angel investors from Adyen, Zapier, and Twitch.With an ambitious mission to redefine Business Planning, we invite you to join Abacum and help shape the future!

Join our dynamic team at Devoteam as a Google Workspace Deployment Specialist. In this pivotal role, you will spearhead the implementation and management of Google Workspace solutions tailored to enhance business processes. Your expertise will ensure seamless integration and customization of these tools to meet our clients' unique needs.

About Stack AIStack AI is on a mission to make Large Language Models accessible to everyone through an intuitive no-code platform that seamlessly integrates leading AI models (OpenAI, Anthropic, Google), various data sources (OneDrive, Google Drive, Notion), and essential SaaS tools. With the backing of Y Combinator and Gradient Ventures, we have amassed thousands of users and secured hundreds of paying clients, including prominent public companies and unicorns.The RoleWe are seeking a talented Senior Frontend Engineer who excels in execution. This role focuses on optimizing and enhancing existing features rather than creating flashy new ones. You will collaborate closely with our Product Design team to transform detailed visual specifications into clean, production-ready code.Main Mission: Alleviate bottlenecks within our Product Design team by taking charge of incremental UX/UI enhancements to our current features and codebase.What You'll DoOptimize and enhance existing frontend code and features.Implement gradual UX/UI enhancements based on detailed design specifications (no design skills required).Work independently with minimal code review—your code should be clean and dependable enough for others to trust without hesitation.Collaborate with Product Designers and Engineers to ensure effective execution.Focus on impactful improvements that enhance product quality and user experience.Refactor and improve legacy code.What We're Looking ForMust-haves:Exceptional code quality: Produce clean, maintainable, and trustworthy code that requires minimal review.Strong execution: Ability to ship quickly and effectively.Senior-level experience: Over 5 years of experience with React, TypeScript, Next.js, and modern frontend technologies.Accountability: You take ownership of your decisions and act responsively.Autonomy: You can manage features from start to finish without needing guidance.Pragmatism: You are ready to engage in detail-oriented, iterative work critical to product success.Technical excellence: A mentor who can share knowledge rather than someone who needs to be taught.Nice-to-haves:Experience with additional frameworks or tools.Familiarity with agile methodologies.Passion for user experience and design.

We invite you to submit your CV in English, along with your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities for top technology companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in tasks such as:Crafting original computational engineering problems that emulate real-world engineering processes;Developing programming challenges using Python to carry out engineering calculations and simulations;Ensuring that problems are computationally demanding and necessitate numerical methods or iterative solutions;Creating scenarios involving system design, optimization, and analysis;Formulating problems based on genuine research challenges or real-world engineering applications;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis role is suitable for engineers with experience in Python, looking for part-time, non-permanent project work. Ideal candidates will possess:A degree in Electrical Engineering or related disciplines;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is acceptable;At least 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering limitations and approximations;Excellent written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects is a plus.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time CommitmentTasks for this project are estimated to require approximately 10-20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload.CompensationParticipants can earn up to $31 per hour, based on their experience and contribution pace. Compensation varies across different projects based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels based on their specific requirements.

Role overview Anyone AI seeks experienced software engineers to serve as AI Software Engineering Trainers. This is a remote, part-time consulting position for candidates based in Spain. Trainers collaborate with a prominent AI laboratory, shaping authentic engineering tasks and evaluating solutions for technical quality and depth. What you will do Create and implement multi-file coding challenges that cover bug fixes, new features, refactoring, and test development. Write clear, thorough specifications along with reference implementations. Develop and expand unit and integration test suites. Review peer-created tasks for technical accuracy and clarity. Identify edge cases, ambiguities, and potential failure points in both code and requirements. Ensure alignment between specifications, code, and expected outputs. Expected outcomes Deliver solutions that are production-ready and meet recognized industry standards. Requirements Exceptional written English for professional communication. 3 to 7 years of hands-on software engineering experience. Proficiency in Python and JavaScript or TypeScript. Knowledge of Java, C#, or Go is a plus. Background in backend or full-stack development for production environments. Experience with testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing tools. Ability to work with large, multi-file codebases and debug complex issues. Track record of code reviews, refactoring, and managing production migrations. Engagement details Part-time, project-based consulting arrangement. Fully remote role based in Spain.

Join Celonis, the forefront leader in Process Intelligence technology and one of the fastest-growing SaaS companies globally. We envision a significant opportunity to enhance productivity by embedding AI, data, and intelligence at the heart of business processes. Are you ready to be a part of this transformative journey?The Team:At Celonis Services, we are committed to optimizing our clients' business processes through unparalleled technical expertise. Our integrated approach combines Consulting Services, Academy, and Customer Support, allowing us to deliver holistic solutions. As industry thought leaders with profound product, technical, and domain knowledge, we excel at implementing Celonis to foster the adoption of process intelligence, ultimately enhancing our clients' core operations. We achieve this by leveraging best practices, extensive delivery experience, award-winning enablement programs, and a robust support framework.The Role:As the Lead AI Deployment Architect, you will collaborate directly with clients to identify their challenges and design, deploy, and scale innovative AI solutions and automations utilizing our Process Intelligence platform. In both pre-sales and post-sales roles, you will partner with other AI specialists across Product & Engineering and GTM to standardize these solutions and effectively bring them to our customer base. We seek individuals with substantial practical experience in delivering impactful solutions to our clients.Your Responsibilities:Design & Deploy: Create, develop, and scale comprehensive AI solutions tailored to client requirements, utilizing Python, LLM-based architectures (RAG), and Machine Learning models.Strategic Engagement: Present the Celonis AI value proposition to executive-level stakeholders, aligning our Process Intelligence capabilities with their overarching enterprise AI strategy.Scale Innovation: Collaborate with cross-functional teams to enhance and standardize AI solutions across various projects, ensuring successful deployment and customer satisfaction.

Toloka AI seeks a freelance AI trainer with experience in civil engineering and Python programming. This role focuses on training AI systems by combining technical engineering knowledge with hands-on coding skills. Responsibilities Use civil engineering expertise and Python programming to support AI training projects. Handle a variety of assignments that help advance AI technology. Collaborate with an international team while working remotely. Location This position is fully remote, based in València, Valencian Community, Spain.

We invite you to submit your CV in English and indicate your English proficiency level.Mindrift offers a unique platform that connects talented specialists with project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewWhile each project presents distinct challenges, contributors can expect to:Design innovative computational engineering problems that replicate genuine engineering processes;Create scenarios that necessitate Python programming to resolve engineering calculations and simulations;Ensure tasks are computationally demanding and require numerical methods or iterative solutions;Develop challenges related to system design, optimization, and analysis;Base scenarios on authentic research challenges or practical engineering applications;Validate solutions using Python with established engineering libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis position suits engineers proficient in Python who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming languages is also acceptable;At least 2 years of professional experience in applied engineering, research, or teaching;A solid understanding of practical engineering limitations and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS, CAP) and experience in international or applied projects are advantageous.Project WorkflowApplication → Qualification Process → Project Engagement → Task Completion → PaymentProject Time CommitmentFor this project, participants can expect to dedicate approximately 10–20 hours per week during active phases based on project needs. This is an estimate and not a guaranteed workload while the project is active.CompensationContributors on this project can earn up to $31 per hour, depending on their expertise and contribution pace. Compensation will vary by project based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earnings based on their specific requirements.

Join Prosper AI as an AI StrategistLocation: Barcelona (On-site)Type: Full-timeAbout Prosper AIAt Prosper AI, we are revolutionizing healthcare through our innovative AI Phone Agents that provide human-like expertise while drastically cutting costs. Our AI agents streamline administrative tasks such as patient scheduling, claims status checks, and benefit verifications, aiming to eliminate $200 billion in administrative waste, thus allowing healthcare professionals to concentrate more on patient care.About the RoleAs an AI Strategist, you will be pivotal in deploying and optimizing our AI agents across some of the most intricate healthcare organizations globally. You will lead strategic initiatives from configuration to full-scale production, ensuring measurable impacts for our clients. Your insights will help refine our external deployments and internal best practices.Key ResponsibilitiesOversee the complete deployment of AI agents on Prosper AI’s platform for U.S. healthcare clients, including hospitals and clinics.Collaborate with clients and internal teams to map out administrative workflows and pinpoint areas ripe for AI-driven automation.Evaluate deployment performance data to identify challenges and promote continuous improvement.Create and enhance internal playbooks and frameworks to expedite future deployments.Transform complex operational challenges into actionable strategies that connect technology with healthcare operations.Who You AreHolds a Bachelor’s degree or higher in Computer Science, Engineering, Business, Economics, or a related field.Possesses strong analytical skills with the ability to dissect complex processes for AI impact.Demonstrates a passion for the convergence of AI, healthcare, and operations.Thrives in a dynamic startup environment with evolving priorities and significant ownership.Bonus: Familiarity with healthcare workflows, LLMs, automation tools, or enterprise software deployments is a plus.

Join the cutting-edge AI Special Forces team at Darwin AI! We are seeking a driven and enthusiastic AI Engineer who is passionate about leveraging technology to provide exceptional support to our clients. This role is ideal for individuals who thrive on solving complex problems and have a keen interest in the intricacies of technology and artificial intelligence.As an AI Engineer, you will be at the forefront of client interactions, serving as the primary resource for resolving challenges related to AI agents and their integration with external systems. Your responsibilities will involve direct communication with clients to address inquiries, troubleshoot issues, and collaborate with internal teams including Customer Success, Onboarding, Product, and Engineering to ensure timely and comprehensive resolutions. Your contributions are vital in fostering strong client relationships and enhancing the overall Darwin AI experience.Key Responsibilities:Promptly respond to customer inquiries through WhatsApp, email, and Slack, ensuring high levels of satisfaction.Diagnose and resolve technical issues, particularly those involving AI behavior, configurations, and API integrations.Monitor alerts from internal tools and customer feedback on the Darwin platform to take necessary actions.Collaborate closely with Product and Engineering teams, escalating complex challenges and contributing to product enhancements.Maintain detailed documentation of support activities to ensure accurate tracking of issues and solutions.Identify recurring problems and assist in developing internal documentation and FAQs.Work alongside Customer Success and Onboarding teams to ensure a seamless client journey.Review AI conversations to uncover bugs or areas for improvement.Ensure all critical feedback and issues are addressed within the specified SLA.

Join Mindrift as a Freelance DevOps Engineer (Automation Systems) to contribute to our innovative Tendem project (https://tendem.ai/). In this role, you will be instrumental in architecting and sustaining a robust infrastructure that supports automated workflows within a hybrid AI and human-centric environment.As an AI Pilot, you will work closely with Tendem Agents who manage repetitive tasks, leveraging your expertise in infrastructure management, system reliability, and performance optimization to ensure efficient and scalable automation pipelines.This part-time remote position is perfectly suited for seasoned professionals with a proven track record in cloud infrastructure, system deployment, and high-load automation environments.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented professionals with project-based opportunities in AI for top tech companies, with a focus on testing, evaluating, and enhancing AI systems. Please note that this is a project-based role rather than a permanent position.Role Overview:While each project presents distinct challenges, contributors may be tasked with:Crafting original computational physics challenges that emulate genuine physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that the problems are computationally intensive and cannot be manually resolved within a reasonable time frame (days/weeks);Creating problems that require complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating challenges based on authentic research issues or practical applications in physics;Validating solutions using Python with standard physics simulation libraries;Providing comprehensive documentation for problem statements along with verified correct answers.Qualifications:This opportunity is ideal for optical engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be regarded as equivalent;At least 2 years of professional experience, which may include applied, research, or teaching roles;Experience in numerical simulation methods;Capability to design problems that reflect real-world physics research workflows;Innovative thinking in problem design across various physics sectors;Understanding of physics modeling and approximation techniques;Strong written English skills (C1+).Application Process:Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Project Commitment:For this project, tasks are estimated to demand approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is in progress.Compensation:Contributors can earn up to $29 per hour, based on their contribution level and pace. Compensation may differ across projects according to scope, complexity, and required expertise. Be aware that other projects on the platform may present varying earning levels based on their requirements.