Engineering Manager - AI

Join Our Mission at Doctolib! Your Role At Doctolib, we thrive in a dynamic engineering environment as we create pioneering products and features designed to enhance the lives of doctors and patients alike. We are on the lookout for an inspiring Engineering Manager - AI to join our tech teams in Berlin. You will be part of a dedicated team of innovators who are committed to revolutionizing healthcare while actively contributing to the growth of our fast-evolving company from day one! For more insights into our work, check out our technical blog! About Our Technology Environment Our solutions are developed on a fully cloud-native platform that accommodates web and mobile app interfaces, supports multiple languages, and is tailored to meet the specific requirements of various countries and healthcare specialties. We are modularizing our platform within a distributed architecture through reusable components. Our technology stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We utilize AI ethically across our products to empower both patients and healthcare professionals. Discover our AI vision here and learn more about our inaugural AI hackathon here! Who You Are If you feel this job description aligns with your skills, even if you don't meet every requirement listed, we warmly encourage you to apply. In this role, you will be both a technical leader and a people manager, providing coaching and support to your team members while building an exceptional engineering organization at Doctolib. Your responsibilities will include: Leading a high-performing and collaborative team of 5+ members to achieve business objectives collectively. Partnering with talent and people teams to attract, develop, and retain top talent. Building, leading, and empowering a user-centric team that prioritizes exceptional internal and external user satisfaction. Collaborating with your product partner to define a mission and vision for your team, aligning on a clear roadmap to realize it. Taking ownership of the end-to-end engineering process and ensuring the team meets its objectives.

Transform the Travel ExperienceJoin GetYourGuide in reshaping the way people explore the world. We connect millions with unique and memorable activities, driven by our dedication to making every journey extraordinary—including yours.Are you ready to unlock your potential alongside a community of fellow adventurers? Explore your next opportunity at our Berlin headquarters or one of our global offices, from New York to Bangkok. Visit getyourguide.careers to take the first step.Team MissionAt the AI Platform team, our goal is to empower Mission Teams across GetYourGuide to independently build and operate robust LLM features, democratizing AI development while ensuring the product quality our users expect.As the Engineering Manager for our AI Platform team, you will spearhead the vision, strategy, and execution necessary to enable and scale AI-powered capabilities across our product range. You will oversee the development and evolution of a centralized AI infrastructure designed to make LLM development systematic, reliable, and scalable. Your team will create evaluation systems, abstraction layers, and safety measures, enabling Mission Teams to deploy AI features with confidence and speed, ensuring GetYourGuide delivers trustworthy, high-quality AI experiences to travelers worldwide.Your ResponsibilitiesLead hiring and performance management processes for your Engineering team, empowering your engineers to excel in this dynamic and rapidly evolving field.Drive impactful projects and outcomes by managing the team’s roadmap and portfolio allocation.Tackle complex technical challenges that span multiple services and business domains, ensuring Mission Teams can create production-grade LLM features confidently.Promote best practices for LLM development across the technology landscape.Balance the pace of innovation with production standards to ensure the platform supports speed without compromising quality, security, or reliability.Establish strategic partnerships with key stakeholders across product and engineering leadership, as well as vendor relationships, to align platform capabilities with business objectives.Your Skill SetYou possess a strong sense of ownership, ensuring that technical and product plans align with stakeholder interests, team goals, and organizational objectives.You approach complex problems with an open mind and a collaborative spirit.

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.

Intercom, based in Berlin, Germany, builds AI-powered tools that help businesses deliver customer service at scale. Nearly 30,000 companies worldwide rely on Intercom’s products, including Fin, an AI agent that handles customer queries around the clock. When integrated with Intercom’s Helpdesk, Fin becomes part of a broader suite designed to support both automated and human-assisted service. About the Role The AI Models Infrastructure Team sits within Intercom’s AI Group. As Engineering Manager, lead a team focused on designing and maintaining the infrastructure that powers Intercom’s AI models. This work is central to how Intercom’s AI capabilities evolve and scale. What You Will Do Guide a team of engineers responsible for building and supporting the systems behind Intercom’s AI models. Apply technical expertise to help the team navigate a fast-changing field. Foster a culture of continuous technical learning and growth. Collaborate with other teams to ensure the AI infrastructure meets product needs. What You Bring Strong technical background in AI or related fields. Experience leading engineering teams. Commitment to staying current with new developments in AI infrastructure. Learn More Explore Intercom’s engineering culture: intercom.engineering Read about Fin: fin.ai

Intercom builds tools that help businesses deliver better customer service, powered by artificial intelligence. Nearly 30,000 companies worldwide use Intercom’s products, including Fin, an AI customer service agent that works seamlessly with the Intercom Helpdesk as part of the Customer Service Suite. Since 2011, Intercom has focused on innovation and delivering value for clients. Role overview The AI Models Infrastructure Team within Intercom’s AI Group develops and maintains the core infrastructure that supports the company’s proprietary AI models. Intercom is hiring an Engineering Manager to lead this team. This is a technical leadership position working at the intersection of infrastructure and artificial intelligence. What you will do Guide a team of engineers building and operating the infrastructure for Intercom’s AI models Work closely with other teams to ensure the reliability and scalability of AI systems Support ongoing technical growth within the team and stay current with advances in AI Who we’re looking for Experience managing technical teams, ideally in AI or related fields Strong background in infrastructure or platform engineering Commitment to continuous technical development Locations Berlin, Germany Dublin, Ireland London, England Learn more About engineering at Intercom: https://intercom.engineering About Fin: http://fin.ai

About Our ClientFounded in Canada in 2015, our client has rapidly expanded to encompass a global portfolio of over 118 companies. They specialize in acquiring and developing vertical market software firms, empowering each business to deliver top-notch mission-critical solutions tailored to their industry's needs. A cornerstone of our client's philosophy is to invest in well-established enterprises while cultivating an entrepreneurial atmosphere that transforms these companies into industry leaders. Their strategic approach focuses on building long-term partnerships with existing management to create and enhance value.About the RoleAs the AI Engineering Lead, you will assume a pivotal leadership role in defining and executing the company's AI strategy. You will be responsible for the practical integration of AI across our client's engineering framework, enhancing internal development and testing processes to improve efficiency and quality. Additionally, you will oversee the development of AI-driven product features that provide tangible benefits to users. In this position, you will ensure alignment between engineering, product management, and data science teams, translating innovative ideas into actionable solutions and guiding teams to unlock their full potential through effective AI integration.Key Responsibilities AI Strategy & Vision: Develop a comprehensive AI roadmap that aligns with business objectives; identify opportunities for AI/ML applications in internal workflows (e.g., code generation, automated testing, monitoring); collaborate with product leadership to design and implement AI-enhanced product features. AI Integration into Engineering Practice: Spearhead the deployment of AI tools within the Software Development Life Cycle (SDLC) (e.g., GitHub Copilot, CodeWhisperer, Tabnine); automate unit testing, static code analysis, and regression testing leveraging AI; guide the application of AI in CI/CD pipelines for improved monitoring, alerting, and predictive operations. AI Product Development: Design and oversee the creation of AI/ML models and AI-enhanced product features; ensure adherence to best practices in AI/ML, including model training, data governance, validation, and ethics; select and manage the necessary infrastructure (e.g., cloud GPU/TPU, model operations platforms like MLflow or Vertex AI). Team Leadership & Cross-Function Collaboration: Lead a team of AI engineers, data scientists, and MLOps personnel; collaborate with product, design, and stakeholders to ensure AI features align with user value; mentor engineering teams on responsible AI usage, prompt engineering, and model comprehension. Governance & Compliance: Establish standards for responsible and explainable AI; ensure compliance with regulatory and ethical guidelines (e.g., GDPR, fairness, transparency); monitor model performance to prevent drift or unintended behaviors.

About UsAt Helsing, we empower machines with advanced AI capabilities that enhance human decision-making and perception. Join us to make a significant impact in a high-stakes environment, where robust AI solutions must meet hardware constraints while defending against adversarial threats.As part of our AI Assurance team, you will pioneer innovative methods for the scalable evaluation of AI products across our organization. Your role will involve designing data collection and experimentation strategies to derive causal insights, thereby promoting responsible decision-making through effective uncertainty quantification and safety protocols.Your Daily ResponsibilitiesYou will define operational domains and assess the reliability of our in-house AI capabilities. Your expertise will help advance the state-of-the-art in uncertainty quantification and calibration. This role requires a deep understanding of our AI systems, enabling you to interface effectively and evaluate their resilience in real-world and adversarial settings. You’ll collaborate on impactful projects with diverse teams, contributing to our mission.

Role overview repriskag is hiring a Senior AI Engineer based in Berlin. This position centers on designing and building advanced AI solutions aimed at solving complex problems in a range of industries. The work requires a strong technical background and a creative approach to applying AI methods. Collaboration is central to this role. The Senior AI Engineer will work closely with engineers and researchers, sharing ideas and exploring new directions in AI technology. The team values open communication and a willingness to tackle novel challenges together. What you will do Design and implement AI solutions for diverse industry problems Collaborate with engineers and researchers to develop new AI approaches Contribute to discussions on emerging AI technologies and their practical applications Location This role is based in Berlin.

Intercom builds AI-driven customer service tools that help businesses offer strong support experiences. Our AI agent, Fin, powers always-on customer care and integrates with the Intercom Helpdesk as part of the Customer Service Suite. This platform handles complex queries and connects customers to human support when needed. Since 2011, nearly 30,000 businesses have chosen Intercom to improve their customer service operations. Role Overview The Senior Engineering Manager, Fin AI Agent, joins the Service Agent pillar in Berlin. This pillar includes 12 teams and continues to grow. The role involves leading one or two of the most strategically important work streams within this group. Team structures shift frequently, so flexibility and adaptability are essential. The broader market moves quickly, with AI-focused startups competing for the same ground, so high standards and comfort with rapid change are key. What You Will Do Own critical work streams from start to finish, ensuring meaningful impact beyond just meeting deadlines or maintaining team morale. Engage directly with the product and its challenges, this could include writing code, performing analyses, collaborating across functions, or helping team members overcome blockers. Form and lead new teams as priorities shift, often bringing together engineers who have not worked together before. Set clear expectations and build momentum, even under tight deadlines. Measure success by the real-world results your teams achieve. Who Thrives Here This role suits someone who enjoys high-pressure, fast-moving environments and is motivated by delivering real results. The work demands strong leadership, adaptability, and a willingness to get involved directly in technical and organizational challenges.

About the Role Join bluefishai as a Senior AI Engineer and take the lead in developing cutting-edge LLM-powered products that redefine marketing and advertising technologies. Your expertise in machine learning, large language models, and natural language processing will be crucial as you design, implement, and enhance our suite of AI-driven solutions. In this pivotal role, you will oversee the LLM technology stack that is central to our product offerings. Collaborate with cross-functional teams, including application engineers, product managers, and designers, to create innovative solutions that yield significant business results. This position offers a unique opportunity to influence the future of AI-driven technologies and contribute to impactful real-world applications. While this role is associated with our Berlin office, we support hybrid or fully remote work arrangements for candidates located within Germany.

At Machine Learning Reply, we empower businesses to transform cutting-edge AI technologies into practical applications and scalable digital products.We are seeking a passionate Junior AI Application Engineer to join our team, dedicated to developing AI-powered solutions and intelligent product features utilizing modern Machine Learning and Generative AI technologies.While our GenAI Engineers focus on model development and AI architectures, AI Application Engineers concentrate on crafting user-centric AI applications and translating AI capabilities into scalable products.In this role, you will collaborate across AI Engineering, Backend Development, Product Development, and Cloud Deployment to build production-ready AI systems that deliver tangible business value.ResponsibilitiesAs a Junior AI Application Engineer, you will design and develop AI-driven applications and product features for enterprise clients. Your responsibilities will include:Conceptualizing and developing AI applications such as enterprise assistants, copilots, semantic search platforms, and automation systems.Assisting in the development of LLM-based solutions (including RAG) and end-to-end AI products by integrating APIs, enterprise data, and backend services.Building scalable AI microservices, APIs, and vector search, embedding, and retrieval systems.Rapidly prototyping AI features and evolving them into production systems.Collaborating closely with product managers, designers, AI engineers, and clients to develop impactful solutions.Deploying AI systems in cloud and production environments using modern DevOps practices.Ensuring reliability, scalability, and observability through CI/CD, monitoring, and containerized deployments.BenefitsHYBRID WORKINGCOMPANY EVENTSEXPERT NETWORKCERTIFICATIONSRegular and systematic (external and internal) training opportunities in Generative AI, LLM development, Cloud architecture, and Data Science.Work in an open, flat environment, within a broad Reply network for knowledge exchange.

Synthflow AI is a leading no-code platform that specializes in deploying voice AI agents designed to automate phone calls across contact center operations and business process outsourcing (BPO) at scale. Our mission is to empower mid-market and enterprise organizations to manage routine calls efficiently, saving valuable time and resources.Our AI agents have made a significant impact:Saved over 5 million hours in contact center operations.Increased call answer rates by 35% compared to non-AI operators.Handled 45 million calls with an impressive 99.9% uptime.Supported by Accel, Atlantic Labs, and Singular, and trusted by over 1,000 customers, we are at the forefront of a transformative shift towards sophisticated and accessible conversational AI.About the RoleAs the AI Delivery Manager, you will take ownership of the complete delivery process for enterprise Voice AI programs—from signed Statement of Work (SOW) or Proof of Concept (POC) through to go-live and handover—ensuring customers achieve measurable outcomes within budget and on schedule.In this role, you will oversee every project and production deployment from the moment contracts are signed to the go-live phase and subsequent renewals. You will act as the project leader, ensuring timelines are met, customer satisfaction is maintained, and our internal teams are coordinated effectively.While you will not be coding or building agents (that is the role of the Solution Engineer), you will be the orchestrator—tracking progress, resolving issues, managing project scope, keeping communication lines open with customers, and escalating challenges internally as needed. Your efforts will directly contribute to the timely launch of projects and the retention of customers.

About UsAt reliant-ai, we are dedicated to transforming decision-making in an age of overwhelming information. Our mission is to develop the next generation of machine learning software, leveraging generative AI to analyze critical data sources and deliver comprehensive, factual answers to complex inquiries.We believe that the true potential of generative AI can only be achieved by tackling the world's most significant information challenges. With over two decades of expertise in reinforcement learning and natural language processing, we are poised to make a substantial impact in this field.Our team consists of scientists, builders, and entrepreneurs who have pioneered some of the most influential AI applications. Having led teams at industry giants like Google, DeepMind, and EY Parthenon, we now connect cutting-edge AI research with the biopharma sector.

About the RoleAs a Staff AI Engineer at bluefishai, you'll take on a pivotal role as a technical leader for our cutting-edge LLM-powered products, which are at the forefront of marketing and advertising technologies. You will be responsible for making essential architectural decisions, establishing quality benchmarks, and spearheading multi-team initiatives that yield measurable results.Your responsibilities will include leading the vision and execution of our data platform and LLM-integrated products. You will oversee significant architectural decisions concerning data pipelines, model integration, deployment, and evaluations, transforming high-level business and product requirements into reliable, scalable data solutions that deliver impactful outcomes for our Fortune 500 clients. This role encompasses both data backend and machine learning engineering, ensuring the reliability and cost-effectiveness of our pipelines while enhancing the performance of LLM-enabled features. Furthermore, you will elevate data literacy across the department through effective collaboration and craftsmanship.You will be accountable for the health, cost, and growth of key data products and platforms, partnering closely with full-stack engineers, product managers, design teams, and DevOps to produce outcomes that our customers can confidently rely on.This position offers an exciting opportunity to influence the future of AI-driven technologies and make significant contributions to tangible applications.While this role is associated with our Berlin location, we offer flexibility for remote work within Germany.

Join idealo’s innovative AI Booster Team, where we drive the integration of generative AI technology across the organization. Collaborate closely with product teams to create reusable AI workflows and promote industry best practices. In this role, you will be pivotal in designing and deploying scalable LLM systems and agentic workflows, transforming concepts into rapid production rollouts.About Your New RoleWork together with cross-functional teams to conceptualize, prototype, and launch LLM-driven features within weeks.Design and implement sophisticated LLM workflows and agentic systems, including multi-agent orchestration and execution flows.Assess and choose appropriate models and inference infrastructures for tasks, balancing considerations of cost, latency, quality, and safety.Create reusable AI components (e.g., advanced RAG pipelines, evaluation frameworks, model adapters) that can be scaled across various products and teams.Promote automated evaluations, human-in-the-loop assessments, and continuous feedback loops to maintain quality, reliability, and cost efficiency.Act as a technical mentor by conducting office hours, reviews, and workshops to elevate GenAI skills throughout idealo.

Join Our Mission to Transform HealthcareBe part of a dedicated team of innovators at Doctolib as we revolutionize healthcare accessibility!As a member of our tech department, you will play a key role in creating cutting-edge products and features that enhance the lives of healthcare professionals and patients alike. We thrive in an agile environment, collaborating closely with product, design, and business teams.Your Role as a Senior AI EngineerWe are seeking a Senior AI Engineer (Python) to join our Conversational AI (CAI) team within the Practice Efficiency domain.In this position, your primary goal will be to develop and expand our Phone Assistant product, aiming to transform patient access to care and streamline daily operations for practitioners. Leverage state-of-the-art technologies in AI, NLP, and speech recognition to create exceptional user experiences and scale your innovations to millions of users.

Role Overview LinkedIn is hiring an AI Enablement Manager in Berlin to help teams across the company adopt and integrate AI technologies. This role focuses on supporting business units as they use AI to streamline processes, make better decisions, and work more efficiently. What You Will Do Work with cross-functional teams to find opportunities for AI implementation Advise teams on how to use AI tools to meet business goals Ensure AI solutions fit with overall company objectives

About UsHelsing is a cutting-edge AI company dedicated to advancing defense technologies. Our mission is to safeguard democratic values and ensure that societies can make autonomous decisions while upholding ethical standards. We are committed to responsible technology development and deployment, particularly in the realm of AI.Our team comprises driven engineers, AI experts, and client-facing program managers united by a common purpose: tackling the most challenging and significant problems. We foster a culture of transparency and encourage open discussions surrounding the ethical implications of technology in defense.The PositionAs an AI Research Engineer at Helsing, you will be at the forefront of innovating autonomous decision-making systems for defense. Your work will encompass a wide range of AI applications, including extensive data processing, reinforcement learning agent training, and the development of large-scale foundational models. Collaborating within a diverse team, your responsibilities will include architecting and implementing robust tools and platforms that drive these advancements. You will focus on abstracting complex distributed systems to enhance training efficiency and developer productivity. We seek engineers who can effectively blend machine learning with systems engineering to create scalable solutions.Key Responsibilities:Enhance our integrated deep learning frameworks, built on PyTorch, to make them efficient and user-friendly across various applications.Expand our infrastructure and tooling to facilitate faster and larger-scale distributed training.Devise data strategies to manage extensive datasets effectively.

Join GetYourGuide as a Senior AI Enablement Engineer, where you will leverage your expertise in artificial intelligence to enhance our product offerings. In this pivotal role, you will collaborate with cross-functional teams, driving the integration of AI technologies into our platforms, ultimately enhancing user experience and operational efficiency.Your contributions will shape the future of travel experiences, directly impacting how customers interact with our services. If you are passionate about AI and ready to make a significant impact in a dynamic environment, we want to hear from you!

Legal teams often find themselves overwhelmed by monotonous tasks, causing delays across the organization. At Flank, we are revolutionizing this scenario.We operate at the forefront of AI innovation, developing the next generation of autonomous agents tailored for enterprises. We have successfully secured a $10M Series A funding round led by Insight Partners (US), with ongoing support from Gradient Ventures (Google’s AI fund), HV Capital, and Speedinvest (EU).Our solution is not merely an optional tool for small startups; we are actively deploying Flank agents within multinational corporations exceeding 100,000 employees, fully automating workflows that were previously deemed unsolvable. Our agents function continuously, under defined parameters with customer oversight, escalating only exceptions to legal for evaluation. Every action and request is transparent and auditable, assuring customers complete visibility over their automated workforce.We are on the lookout for a skilled AI Engineer to spearhead our applied AI projects.In our dynamic startup environment, you will collaborate closely with product, design, and commercial teams to deliver tangible AI solutions — moving beyond mere research experiments.Your responsibilities will include harnessing emerging technologies alongside a team of legal experts to enhance the intelligence and autonomy of our agents.This role may involve the creation of an evaluation framework in partnership with our legal team, or developing a hypervisor that governs each aspect of our agentic system, ensuring alignment with best practices in legal AI systems.