Location: Remote (UK/Europe preferred) Type: Full-time About our Client Our client is building cutting-edge AI solutions in the mental health space, focused on creating impactful, scalable, and clinically meaningful products. Our mission is to develop technology that can make a real difference in people's lives through innovative, AI-powered experiences. We are at the early stages of launching a major new product initiative with significant long-term potential and global impact. The Role We are looking for a Founding / Lead Engineer to take ownership of a new AI-driven product from the ground up. This is a high-impact role where you will lead both the technical direction and early product shaping, working closely with clinical and product stakeholders. You will not only build—but also define, scope, and drive the project forward. Key Responsibilities - Lead the development of a new AI-powered mental health product (initially audio-focused) - Take full ownership of the project from early-stage scoping through execution - Collaborate with clinicians, designers, and product stakeholders to shape the solution - Architect and build scalable backend systems and APIs - Contribute to (and potentially lead) frontend/mobile application development - Establish engineering best practices, including AI-native workflows - Make key technical and product decisions in an ambiguous, fast-moving environment - Mentor and help build the team as the project scales Tech Stack - Backend: Node.js, tRPC - Database: PostgreSQL - Infrastructure: Redis (queues, async processing) - Frontend (likely): React / Next.js - Product: AI-driven (audio-first, with potential web/mobile interfaces) What We’re Looking For Core Requirements - Strong experience with Node.js and TypeScript - Experience building production-grade systems (backend-focused, fullstack is a plus) - Solid understanding of system design and architecture - Experience working in early-stage startups or high-ownership roles - Ability to lead projects end-to-end, not just execute tasks AI & Modern Development - Experience working with AI-powered products or features - Comfortable using AI tools as part of your development workflow (“AI-native” mindset) - Strong understanding of how to guide AI tools effectively, not just rely on them blindly Profile We Value - Entrepreneurial mindset (founder-like ownership) - Comfortable with ambiguity and evolving requirements - Strong communication and cross-functional collaboration skills - Product-oriented thinking (not just technical execution) - Passion for building impactful solutions in mental health Nice to Have - Experience with audio-based applications or processing - Experience in healthtech or regulated environments - Background as a founder or early startup employee - Exposure to mobile app development Location & Working Style - Fully remote - Preference for candidates in the UK or Europe (for timezone overlap) - No onsite requirement Compensation - Competitive salary based on location (aligned with local market benchmarks) - Typical ranges: - Europe: ~€80K+ - UK: ~£80K–£100K - Equity/options included as part of the compensation package Why Join our Client? - Work on a mission-driven product with real-world impact in mental health - Be part of a foundational team shaping a major new initiative - High ownership and influence over both product and technology - Opportunity to build something groundbreaking at scale

Updated: 23 March 2026 Freelance | 8–20 hrs/week | Remote (EU/UK) Are you an experienced ML Engineer eager to apply your expertise in a new and impactful way? Do you have 8 to 20 hours per week available to contribute alongside your current projects or employment? We are looking for top-tier machine learning professionals based in the EU or UK to help improve advanced AI systems. What you’ll be doing We are 10x.team, a platform for fractional and freelance professionals. We partner with leading AI labs to enhance large AI systems. Your role is hands-on and high impact. You will: - Review and refine AI generated outputs on a variety of machine learning and AI topics - Evaluate responses for technical accuracy, ML best practices, and compliance with industry standards - Draft realistic ML engineering scenarios, including model evaluation, deployment approaches, data pipeline design, scaling challenges, interpretability, and ethical considerations - Create variations of the same scenario from different roles, such as ML engineer, data scientist, business stakeholder, or compliance advisor - Identify gaps, misinterpretations, or oversimplified reasoning in AI generated content - Assess and improve AI reasoning around structured problem solving, edge cases, and application of theoretical concepts In simple terms: You will assess and improve AI generated content by ensuring it reflects the reality of ML engineering practices and challenges. This is not a traditional engineering role. Instead of building models for individual use cases, your expertise will guide how AI systems understand and reason about ML topics at scale. Your feedback will directly improve how AI performs for technical users worldwide. Who this is for You are: - A machine learning engineer, data scientist, or AI engineer with several years of hands-on experience - Based in the EU or UK - Experienced across the ML workflow: model development, evaluation, tuning, deployment and monitoring - Comfortable identifying limitations in data, experimental design, model selection, fairness, or explainability - Familiar with current ML frameworks, MLOps best practices, and ethical or AI governance standards - Available 8 to 20 hours per week - Able to start in the coming weeks This role is fully remote and flexible, ideal alongside your existing professional commitments. Why join - Flexible, part-time hours - Fully remote opportunity - Apply your ML expertise to advance the field of AI - Contribute to the performance of widely used AI systems - Clear scope and structured onboarding - Potential for long-term collaboration based on performance Screening process The application process is straightforward and guided: - Complete a short AI based interview - Submit a brief written evaluation of ML reasoning - Undergo a compliance check to verify your identity and professional background After a successful selection and onboarding, you’ll be eligible to start on upcoming projects as they become available. #LI-AS1 #LI-TT1

• Own AI experiments end-to-end: shape hypotheses, define success criteria, build, ship, measure, and iterate • Partner with ML Engineering to productize ML prototypes and harden them for production • Design agent action schemas and tool contracts that make model behavior predictable under real-world variance • Build retrieval systems (RAG) for agent context: chunking/indexing strategies, vector search quality, and grounding behavior • Build orchestration systems for agent workflows: stateful sessions, streaming, async job coordination, and failure recovery • Build evaluation loops that combine deterministic validation, domain heuristics, and model-based review • Design human-in-the-loop flows for approvals, intervention, and safe execution of high-impact actions • Talk directly with users and internal stakeholders to refine problem framing and validate assumptions early

Wir sind CARIAD, das Automotive-Software-Unternehmen der Volkswagen Group. Unsere Teams entwickeln Softwareplattformen und digitale Kundenfunktionen für legendäre Marken wie Audi, Volkswagen und Porsche – und unterstützen so die Volkswagen Group auf ihrem Weg zum führenden automobilen Technologiekonzern. CARIDIANS in Softwarezentren in Deutschland, den USA, China, Estland und Indien arbeiten daran, die Automobilität für alle neu zu gestalten. DEIN TEAM Innerhalb der AI-Architektur befähigen wir den CARIAD ADAS-Stack (CAS), KI-getrieben zu arbeiten. Wir sind dafür verantwortlich, das Deployment, die Optimierung und das Performance-Management unserer KI-Modelle sicherzustellen und steuern die gesamte CAS-Entwicklung in ihrer KI-Weiterentwicklung. DEINE AUFGABEN - Definition und Weiterentwicklung einer konzernweiten AI‑Data‑Strategy für Realwelt‑, synthetische und Simulationsdaten. - Verantwortung für die End‑to‑End Datenarchitektur im ADAS/AD‑Stack inkl. Qualitäts-, Validierungs- und Repräsentativitätsrichtlinien. - Funktion als Technical Authority für KI‑Datenarchitektur: Entscheidungen über Standards, Governance, Plattformen und technische Guardrails. - Strategische Steuerung und Alignment über mehrere Produktlinien und cross‑funktionale Expertenteams hinweg. - Repräsentation von CARIAD in technischen Gremien, Publikationen und Fachkonferenzen zur Weiterentwicklung des Standes der Technik. DAS BRINGST DU MIT - Tiefgreifende Expertise in KI‑Systemen für Wahrnehmung, Planung und End‑to‑End‑Models sowie in hybriden Datenquellen (Realwelt, synthetisch, Simulation). - Langjährige Erfahrung als Principal / Senior Staff Engineer mit organisationsweiter technischer Verantwortung. - Umfassendes Wissen über datengetriebene Systementwicklung, einschließlich Toolchains, Datenqualitätsmetriken und sicherheitskritischer Validierung. - Starke Architektur‑Skills im Aufbau skalierbarer ML‑/Data‑/Simulation‑Plattformen und Erfahrung mit technischen Governance‑Strukturen. - Hervorragende Kommunikations‑ und Leadership‑Fähigkeiten, inkl. Stakeholder‑Steuerung auf Executive‑Ebene. NICE TO KNOW - Optionen für Remote-Arbeit - Temporäre Arbeit aus dem Ausland in ausgewählten Ländern - Gleitzeit/Wahlarbeitszeit - Betriebliche Altersvorsorge - Jährliche berufliche Weiterentwicklung - Sabbatical-Option bis zu 6 Monaten - 30 Tage bezahlter + 10 Tage unbezahlter Urlaub - Möglichkeit zum Autoleasing für den VW-Konzern - Wenn Du weitere Fragen zur Candidate Journey bei CARIAD hast, dann kontaktiere uns gerne: careers@cariad.technology Bei CARIAD schätzen wir Individualität und Vielfalt – denn wir sind überzeugt, dass uns unsere Unterschiede stärker machen. Wir setzen uns aktiv dafür ein, Teams mit unterschiedlichen Hintergründen, Perspektiven und Erfahrungen aufzubauen. Unser Ziel ist ein Arbeitsumfeld, in dem sich alle wertgeschätzt fühlen und ihre Stärken einbringen können. Wenn du aufgrund einer Behinderung Unterstützung bei deiner Bewerbung brauchst, melde dich gerne bei uns unter careers@cariad.technology – wir helfen dir gerne weiter.