Applied AI Engineer - Agentic AI for Scientific Workflows

About Us: Axiomatic AI is pioneering a groundbreaking suite of AI systems that leverage the scientific method's rigor. By fusing deep learning with formal logic and physics-based modeling, we engineer verifiable and interpretable AI solutions that empower human researchers in high-stakes scientific and engineering endeavors. Our Mission: We aim for a transfo…

Join Celonis as an Associate Applied AI Engineer in our innovative Orbit Program, where you'll collaborate with a dynamic team to develop cutting-edge AI solutions. This role offers a unique opportunity to work at the forefront of technology, applying your skills to real-world problems and making a significant impact on our clients' operations.

Join Celonis as an Associate Applied AI Engineer in the APAC region, contributing to our innovative Orbit Program. This role offers an exciting opportunity to work at the forefront of applied artificial intelligence, collaborating with a dynamic team to drive impactful solutions.

NielsenIQ is seeking a Research Scientist specializing in Generative AI and Applied Research to join the team in Valladolid. This position centers on building advanced AI models that transform data into actionable insights. Role overview The Research Scientist will contribute to new research directions, supporting the development of AI-driven solutions tailored to client needs. The focus is on applying generative AI techniques to real-world data challenges and ensuring research outcomes have practical impact. Key responsibilities Develop and refine generative AI models for applied research projects Collaborate with colleagues to translate complex data into practical insights Support the creation of solutions that address client requirements Location This role is based in Valladolid.

NielsenIQ is hiring a Research Scientist in Madrid to focus on Generative AI and applied research. This position is dedicated to pushing AI capabilities further by conducting hands-on research and building new models that address practical challenges. What you will do Advance generative AI through original research and experimentation Develop and refine models for real-world applications Work closely with colleagues from different backgrounds to drive progress in applied AI Collaboration This role involves working with a multidisciplinary team. Expect regular collaboration with experts in other fields to ensure that new AI solutions are grounded in practical needs and can be effectively implemented.

Role overview This Research Scientist position at NielsenIQ focuses on Generative AI and applied research, based in Barcelona. The role leads projects that apply advanced AI techniques to deliver research results with real-world impact. Work centers on designing and implementing AI solutions that help advance industry knowledge and improve NielsenIQ’s products. Collaboration and impact In this role, collaboration is key. The Research Scientist works closely with a team of researchers and engineers, exploring new applications for AI technologies. The group aims to expand the possibilities of AI and strengthen the value of NielsenIQ’s offerings through innovative research and development.

Join the innovative team at Fundamental as a Senior Applied Research Engineer in Barcelona. In this pivotal role, you will leverage your extensive expertise in applied research to develop cutting-edge solutions that drive our projects forward. You will collaborate with a dynamic team of engineers and researchers, pushing the boundaries of technology to create impactful products.

The Biometric Solutions team at Veriff is at the forefront of developing cutting-edge biometric and liveness technologies crucial for our automated identity verification process.With a solid foundation established using state-of-the-art architectures, we are advancing to a new phase in our roadmap. This involves creating a high-speed "Fast-Follower" engine aimed at dramatically improving our adaptation speed—transforming academic innovations into production-grade proprietary models in just weeks. Your position will connect theoretical computer vision research with production code that safeguards millions of users.In this role, you will drive Biometric innovation by:Designing the Research Pipeline: Developing the infrastructure to reproduce and adapt state-of-the-art papers within 4–6 week cycles, ensuring our models stay ahead in the global fraud landscape.Building Physics-Based Defenses: Creating "attack-agnostic" features—utilizing optical flow, specular reflection, and 3D geometry—to leverage immutable physical laws that attackers cannot easily bypass.Tackling Domain Heterogeneity: Applying advanced Domain Adaptation and Generalization techniques to minimize performance variance across device types (iOS vs. Android), demographics, and environmental conditions.Optimizing for SaaS Scale: Writing high-quality, maintainable Python code to guarantee that complex computer vision models are cost-efficient and latency-optimized.Strategic Prototyping: Utilizing first principles to determine when a novel architecture is necessary versus when the solution is found in superior data curation or procedural attack generation.

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 Us: Axiomatic AI is pioneering a new generation of AI systems that leverage the scientific method's rigor. By merging deep learning with formal logic and physics-based modeling, we are developing verifiable and interpretable AI systems that enhance the capabilities of human researchers in critical scientific and engineering domains. Our Mission: 30×30 is our ambitious goal to achieve a 30-fold enhancement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We are on a mission to transform hardware design and simulation in these sectors, and we are assembling a team of highly driven professionals to translate groundbreaking research into commercial applications. Position Overview: As an Applied Researcher focused on Formal Methods for Physics, you will be an integral part of a dedicated team responsible for creating innovative formal verification tools for science and engineering. Your tasks will include evaluating Lean4 code for formalization, developing specialized Lean4 libraries, ensuring proof integrity, and maintaining high code quality. You will also oversee data curation, conduct benchmarking to assess performance, identify reasoning flaws, and propose effective solutions. Collaboration with our diverse cross-functional team—including Lean experts, mathematicians, physicists, AI researchers, and software engineers—will be crucial for the project's success. This role is based in Barcelona, Spain.If you are not currently located in Barcelona, we still encourage you to apply. Axiomatic is dedicated to attracting top talent globally, and we are willing to discuss relocation support for the right candidate. Your Mission: Lean4 Development: Design and maintain internal Lean4 libraries, ensuring they are scalable, maintainable, and compatible with our AI pipeline. Code Evaluation: Analyze Lean4 code for formalization and correctness against scientific standards, ensuring overall code quality. Data & Benchmarking: Curate datasets, execute benchmarks, and analyze performance outcomes to drive enhancements. Cross-Functional Collaboration: Work closely with our research team to ensure rapid and effective project progress.

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 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.

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.