Senior AI Engineer

Senior AI Engineer (m/f/d)

Artefact

Artefact, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy Senior AI Engineer (m/f/d) to join the tech team full-time. Ideally, you are located in Hamburg, Munich, Berlin or nearby - but if you're based elsewhere in Germany and a great fit, we would still love to hear from you. Could this be you? Our data & AI experts develop production-ready, scalable solutions that bring real business value to our clients. You’ll work in interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven products.   Your responsibilities: Innovate. You’ll help identify business needs, explore data and AI use cases, and drive projects from idea to production - whether it’s a proof-of-concept or a scalable solution. Build. You’ll own your work end-to-end - from concept and architecture to implementation, optimization, and delivery. You design smart, robust solutions using data or LLMs and other AI technologies. Train. You’ll stay ahead of the curve - experimenting with new models, prompt engineering, fine-tuning, and tools. You’ll also share your knowledge within the team and benefit from our partners’ training offers (Google, AWS, etc.). Collaborate. You’ll work closely with clients, product owners, and non-technical stakeholders, balancing technical excellence with practical business impact. Gain broad experience: * Work on 1-3 projects per year across different industries and use cases - from customer service automation to knowledge management and internal tools. * Build real-world data and AI applications using modern tools like LangChain, PydanticAI, MCP servers, RAG pipelines, vector databases (e.g. FAISS, Weaviate), LlamaIndex, Vertex AI, OpenAI APIs, and Hugging Face models. * Shape the way clients use data and AI, driving innovation and best practices in production environments.   Your mindset: * Curious & forward-thinking. You are passionate about solving complex problems using cutting-edge AI and data technologies. * Hands-on. You have experience with LLMs (e.g. OpenAI, Claude, Gemini, LLaMA), prompt engineering, API integration, and ML frameworks. * Holistic. You understand the full ML lifecycle, including data preparation, model deployment, evaluation, and monitoring. * Communicative. You can break down technical concepts for diverse audiences in English and ideally in German as well. * Supportive. You coach junior team members, provide constructive feedback, and actively contribute to our culture of learning.   Profile: * Degree in computer science, AI, data science or similar field. * Experience: 3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production. * Proficiency in Python and cloud-based AI services (GCP, AWS, or Azure). * Solid understanding of data analysis/engineering and AI-specific components like RAG, prompt design, fine-tuning, embeddings, and model evaluation. * Familiar with DevOps and ML-Ops best practices (Docker, Kubernetes, CI/CD). * Strong problem-solving skills, a sense of ownership, and a structured approach to work. * Languages: Business-fluent German and English (both written and spoken) are mandatory to participate in client workshops and deliver polished presentations. * Work Eligibility: A valid work permit for Germany.   Why ARTEFACT? * Challenging projects with national and international clients across industries (e.g. L’Oréal, Samsung, Allianz, Sanofi). * Diverse career paths, promotions based on your performance - not tenure. * Strong team culture and real collaboration across disciplines. * Personal development through workshops, certifications, coaching, and access to partner programs (Google, AWS, etc.). * Attractive benefits: hybrid work, flexible hours, 1 additional day off for your birthday, Christmas & New Year's Eve off, mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.   Let’s shape the future of AI - together! Don't worry if you don't meet all the criteria! At Artefact, we value motivation, pragmatic problem-solving, and potential above all else. If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you. Artefact is a global consulting company specializing in data and AI services, headquartered in Paris. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global market leaders. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. Artefact is dedicated to leveraging data and AI to enhance organizations and their people. We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are! Curious to learn more? Reach out to us at: bewerbung-de@artefact.com.

Senior AI Engineer (x/f/m) - Phone Assistant

Doctolib

WHAT WE DO Join a team of passionate and hardworking entrepreneurs to transform healthcare! Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams. WHAT YOU'LL DO We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain. As a Senior AI Engineer, your mission will be to build and scale a new product in the Doctolib suite: our Phone Assistant, with the vision to revolutionize access to care for patients and day-to-day practice management for practitioners. This opportunity will allow you to leverage the latest technologies in AI, NLP, and speech recognition to build delightful user experiences and scale your product to millions of users. Your responsibilities include but are not limited to:   * Design, ship, and operate production-grade agentic LLM systems that improve patient-practitioner interaction and streamline healthcare workflows * Validate hypothesis with offline evaluation datasets and A/B tests on real traffic * Partner with other machine learning teams to design and improve evaluation pipelines, security/safety guardrails, and metrics * Develop and maintain core agentic capabilities, including memory, reasoning orchestration, and tool adapters, ensuring strong observability, fallback mechanisms, and fail-safe behaviors * Own performance, observability, and security: monitoring dashboards, SLO/SLI, security posture * Ensure privacy and security by design * Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices in building agentic systems that will reinvent the work of health professionals and improve people's health ABOUT OUR TECH ENVIRONMENT * Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here! WHO YOU ARE Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions! Before you read on - if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.   * You have 6+ years of experience as a software engineer, with significant experience using Python * You have a track record of experience with the full lifecycle of an AI product at scale, from initial evaluation and launch to iterations based on results in production * You understand and promote best practices related to the software development life cycle, such as automated testing, good use of CI/CD, and DevOps practices (you build it - you run it) * You are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints * You are very focused on code quality and have a rigorous testing culture * You are eager to share your knowledge and help the team grow by pair programming and mentoring * You are comfortable speaking & writing in English in your day-to-day with the team Now, it would be fantastic if you:   * Have experience with agentic systems in production * Have experience in the medical domain WHAT WE OFFER * A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib * 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Company health insurance with great supplementary benefits through our partner Allianz * Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * The Doctolib Parent Care program, which includes one month additional parental leave and much more * Free mental health and coaching services through our partner Moka.care * Subsidized sports membership through our partner Urban Sports Club * A flexible workplace policy offering both hybrid and office-based mode * Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support THE INTERVIEW PROCESS * Recruiter Interview * Feature Building Interview * AI System Design Interview * Behavioral Interview * Reference check * Offer! JOB DETAILS * Full-time * Location: Berlin * Working mode: Hybrid * Start date: as soon as possible If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.  Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Head of AI

STARK

ABOUT US STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective — providing operators with a decisive edge in contested environments. We are focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today. YOUR MISSION Reporting directly to the CTO, you will define and own STARK's AI strategy, across the product, across internal tooling, and across the entire technical organisation. You'll work shoulder-to-shoulder with Chief Engineers and Engineering Leads, setting a direction they can execute against. On the product side, you'll push the boundaries of what's possible in sensing, autonomy, and robotics for defence. On the internal side, you'll systematically drive AI-powered productivity across every function at STARK. And beyond the company, you'll be our most visible and credible AI voice; the signal that serious AI talent picks up when deciding where to build next.  RESPONSIBILITIES * Define and own STARK's AI strategy across product and internal domains, setting a direction that Technical Leads can execute against * Lead AI stack decisions, model selection, frameworks, MLOps infrastructure, evaluation, and tooling, in partnership with the CTO and Technical Leads, with final technical accountability sitting with you * Act as connective tissue across teams: identify and resolve cross-team AI dependencies, shared infrastructure gaps, and redundant workstreams that individual leads cannot see from inside their own domain * Drive internal AI adoption across STARK, developer productivity tooling, agent and automation infrastructure, and responsible-use frameworks across engineering and operations * Provide technical oversight and challenge across all AI workstreams, asking hard questions on methodology, adversarial robustness, distribution shift, and performance under real operational conditions, without taking over delivery * Monitor the academic and commercial AI landscape and translate relevant advances into concrete strategic inputs for the CTO and programme leadership * Keep AI strategy grounded in operational reality by partnering with programme and product leadership so that what we build maps to real mission requirements, not research for its own sake * Raise the AI bar at STARK: contribute to senior technical hiring, define the AI engineering standard, and build STARK's standing in the European defence-AI community * Represent STARK externally, speak at defence, robotics, and AI venues, publish or present where it serves the mission, and act as a credible signal of the company's technical ambition What success looks like in the first 12 months: * A single, written, widely-understood AI strategy that Chief Engineers and Technical Leads actively use to make decisions * Internal AI tooling in production use, measurably changing how engineering and operations work day-to-day, not as a pilot * At least one product-side AI capability moved meaningfully forward on your direction * STARK visibly more attractive to senior AI talent than when you joined, with at least one strong hire personally pulled into the pipeline QUALIFICATIONS * Degree in machine learning, computer vision, robotics, or a closely related field, or demonstrably equivalent depth through industry research and an open publication or open-source record * Proven experience setting AI technical strategy at a senior level, across multiple domains simultaneously, not within a single team or project * Deep technical fluency in at least one of: perception and sensor fusion, autonomy and motion planning, SLAM/localisation, or multi-agent coordination (C2), with enough breadth to engage credibly across all of them * Strong track record of influencing technical decisions without direct line authority, working through and alongside Technical Leads, not over them * Experience in defence, aerospace, or another safety-critical domain where AI system failure carries real-world consequence; direct UAS or ground-robotics experience strongly preferred * Fluent English; working German is a practical advantage in Berlin or Munich * Eligibility for the required security clearance NICE TO HAVE * An existing network within the European defence AI community * Prior experience in a staff- or principal-level AI role inside a scaling deep-tech or defence company * A public profile, talks, papers, or open-source work, that already signals technical credibility * Comfort operating in a high-autonomy, low-overhead role: setting direction and shaping outcomes without a large dedicated team