Senior Generative AI Engineer

hawk seeks a Senior Generative AI Engineer based in Munich. This role centers on bringing new AI technologies into the company’s product line, with a focus on practical solutions for real-world challenges. Key responsibilities Collaborate with teams across hawk to design and implement generative AI features Use current AI tools and methods to enhance existing products and develop new offerings Provide technical expertise to projects aimed at solving concrete problems Role overview This position offers the chance to apply advanced AI techniques directly to product development. The work involves both improving what exists and shaping what comes next in hawk’s lineup.

Job ResponsibilitiesAs a Generative AI Engineer (m/w/d), you will independently develop and implement Generative AI models, (Multi-)agent-based LLM applications, and AI-driven solutions tailored to our clients' specific needs. This involves identifying and analyzing challenges within the context of AI and generative models.You will create and maintain AI pipelines, APIs, and interactive applications, working with components such as Large Language Models, multimodal models, Knowledge Graphs, and AI-supported products.Your role will also include working on complex AI projects, analyzing business applications for generative AI, and translating them into technical solutions.Utilizing your communication skills, you will collaborate closely with our clients to analyze their challenges in the context of GenAI and present the outcomes in an understandable manner.You will work across various technology stacks, including Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks, and cloud infrastructure.Acting as a mentor for junior colleagues in the field of AI, you will facilitate knowledge transfer within the team.You will benefit from our team's learning resources, hackathons, and various opportunities to advance your technical development in Generative AI and maintain a presence in the community.BenefitsRegular and systematic training opportunities in Generative AI, LLM development, and cloud architecture.Access to cross-industry projects, such as banking, insurance, automotive, and retail.Collaborations with leading partners in cloud, AI/ML, and AutoML, along with access to enterprise versions of leading LLMs.Work in an open, flat environment within a broad Reply network for knowledge exchange.

Role Overview machinelearningreply is looking for an Agentic AI Software Engineer to join the team in Munich, Bayern. This role centers on building intelligent, production-ready systems using large language models (LLMs), autonomous agents, and scalable cloud infrastructure. The position involves close collaboration with clients to deliver practical AI solutions, with a focus on agentic and generative AI applications. Main Responsibilities Design, develop, and deploy scalable systems on cloud platforms such as AWS, GCP, or Azure. Build and manage agentic AI systems, emphasizing multi-step workflows, tool integration, and autonomous decision-making. Lead the implementation of AI-driven features from proof of concept through to production deployment. Create high-performance APIs and backend services for AI applications using frameworks like FastAPI, Flask, or Spring Boot. Integrate generative AI technologies, including LLMs, vector databases, RAG pipelines, and orchestration frameworks (such as LangChain or LangGraph), into enterprise environments. Design and maintain orchestration and retrieval pipelines to support scalable AI applications. Set up and manage MLOps and LLMOps pipelines, along with CI/CD workflows for integration, evaluation, and deployment. Ensure software quality through thorough testing, monitoring, observability, and performance tuning. Work closely with clients and cross-functional teams to gather requirements and deliver effective AI solutions. What machinelearningreply Offers Opportunities to contribute to innovative AI and software engineering projects across sectors such as Banking, Insurance, Automotive, and Retail. Growth in areas like MLOps, cloud architecture, data engineering, and generative AI. Collaboration with leading technology partners in cloud computing, AI, and automation. Access to training, certifications, and interdisciplinary project work.

Veeam is the Data and AI Trust Company, dedicated to empowering organizations to fully understand, secure, and fortify their data and artificial intelligence systems. As a leader in data resilience and security posture management, Veeam is built for the integration of identity, data, security, and AI risk management. With headquarters in Seattle and offices across more than 30 countries, Veeam protects the interests of over 550,000 customers globally, who rely on us to keep their businesses operational. Join us in our fearless journey of growth, learning, and making a significant impact for some of the world's most prominent brands.As a Senior Sales Engineer focusing on Data & AI Security, you will play a pivotal role in driving technical excellence within our sales team, particularly within the Securiti AI portfolio, following our acquisition of Securiti AI, a leader in AI-driven data security posture management. You will collaborate closely with a Securiti Sales Specialist and provide technical support to 3-5 Account Executives and Veeam Solution Engineers, acting as the key technical subject matter expert.Your responsibilities will include guiding customers through the needs assessment process to solution design, delivering engaging hands-on demonstrations and proof-of-concept projects to highlight our value proposition. Success in this role necessitates a robust technical background and the ability to cultivate trustful client relationships.

With over 20 years of innovation, Smartsheet empowers teams to accomplish anything—from streamlined work management to intelligent, scalable solutions. We are dedicated to creating tools that help teams automate tedious tasks, uncover valuable insights, and work more efficiently. Our mission is to create an environment where big ideas can flourish, action can be taken, and meaningful work is achieved. Join us to experience the magic that happens when challenges meet purpose and passion transforms into progress.Role OverviewAs a Senior Forward Deployed AI Engineer, you will take the lead on Smartsheet's most intricate AI deployments, managing the entire engagement lifecycle from technical discovery to production deployment and organization handoff. You will be responsible for architecting multi-agent solutions, designing tailored MCP resource packs, and developing Deployment Kits that revolutionize the operations of over 200 solutions consultants and partners. Your role will involve mentoring junior engineers, driving the intelligence loop, and presenting insights at weekly Applied AI strategy sessions. You will be establishing a critical function within the organization.

As a pivotal member of our team, you will play an essential role in shaping our product by designing, developing, and maintaining the autonomous agents that drive Causa Prima forward. Your work will encompass a variety of tasks, from validating invoices and resolving disputes to negotiating across companies and optimizing cash flow.Key Responsibilities:Agent Architecture: Craft the multi-agent system, defining agent boundaries, event contracts, orchestration patterns, and delineating between LLM reasoning and deterministic enforcement. LLMs will inform while rules will enforce.Document Processing Pipeline: Manage the ingestion, classification, and structured extraction of financial documents (such as invoices, contracts, purchase orders) utilizing LLM-based parsing and vision models, with a focus on sandboxed processing for untrusted documents.Validation & Anomaly Detection: Implement business rule checks, perform three-way matching, detect pricing discrepancies, and identify anomalies over time.Integration Framework: Integrate with platforms such as Gmail, Google Drive, Slack, banking APIs, crypto wallets, and accounting systems, focusing on authentication models, credential lifecycle, and data normalization.Knowledge Graph: Develop a Neo4j context graph that encapsulates implicit business knowledge, providing insights into the reasoning behind decisions, including entity extraction, GraphRAG patterns, and provenance tracking.Multi-LLM Strategy: Establish per-agent model selection, create structured output contracts using Pydantic schemas, and implement an evaluation framework along with a fallback strategy.Compliance & Security: Design agents to operate within a zero-trust model, ensuring independent verification against source data, outbound content review, and prevention of cascading failures from prompt injections.

Join our innovative team at Agentic AI as a Senior UX/UI Engineer, where you'll play a crucial role in designing user-centered experiences and interfaces for cutting-edge AI applications. Bring your expertise in user experience and user interface design to create engaging, intuitive products that delight our users.

D ONE is an elite consultancy firm specializing in data, artificial intelligence, and transformation initiatives.We empower organizations to translate their ambitions into tangible impact by aligning strategic goals, establishing robust data foundations, delivering scalable high-impact solutions, and fostering trust through governance and a people-centric approach. Operating from Zurich, Munich, and Athens, we leverage our extensive expertise across the entire data value chain to support clients throughout Europe. Our methodology is pragmatic, focused on people, and designed to create lasting value.In this position, you will guide our clients through the conception, planning, and execution of data and AI solutions. Based in our Munich office, you will collaborate with your project team to deliver the high quality and reliability for which we are renowned.Your Responsibilities:Assessing client requirements and designing customized data solutions.Engaging in multiple project areas, including cloud engineering, infrastructure, data engineering, data science, and generative AI applications.Communicating findings and insights to stakeholders and management.Occasionally traveling to Switzerland and other international locations to meet clients and collaborate with our headquarters team in Zurich.What You Bring:A university degree in Computer Science or a related field.A minimum of 5 years of relevant work experience.Extensive hands-on experience with contemporary data engineering tools and platforms (e.g., Azure Data Factory, Databricks, Synapse, dbt, Palantir Foundry), along with proficiency in SQL, Python, and Spark.Experience in designing and implementing generative AI solutions, such as retrieval-augmented generation (RAG) systems, copilots, intelligent search, and workflow automation.A strong grasp of data modeling and data warehousing principles.A pragmatic and results-driven mindset.Excellent communication skills in English.What We Offer:A straightforward and low-distraction environment that allows for a focus on what truly matters.An international team of skilled professionals from diverse backgrounds, who are ambitious, enjoy challenges, and value a positive work atmosphere.Growth opportunities through our D ONE Academy, including mentoring programs, knowledge-sharing sessions, expert groups, and tailored training in soft skills and leadership.Regular team-building events and social gatherings.To Succeed in This Role, You Should:Be committed to understanding your clients' needs.Deliver exceptional results that provide high business value in an easily understandable format.Possess the intellectual agility needed to facilitate smooth collaboration.Value innovative and collaborative teamwork.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower clients to seamlessly integrate our cutting-edge coding tools throughout their software development lifecycle. As trusted technical partners, we collaborate closely with engineering teams to incorporate Codex into their workflows. Our diverse clientele ranges from agile digital-native startups to large-scale global enterprises, and together, we enhance their software planning, building, and delivery processes.Role OverviewWe are on the lookout for an innovative and technically adept AI Deployment Engineer who is an enthusiastic user of AI coding tools and is driven to elevate developer productivity. In this role, you will work hand-in-hand with engineering leaders and practitioners to design, validate, and scale sophisticated AI workflows, employing Codex to prototype and create demonstrations, integrations, and automations that our customers will adopt.This cross-functional position merges technical architecture, product strategy, and customer engagement. You will collaborate with Sales, Solutions Engineering, Product, Applied Engineering, and the larger Codex team to represent customer needs, influence product direction, and expedite the successful implementation of intelligent coding systems across influential organizations globally.Key ResponsibilitiesAct as the primary technical expert on OpenAI Codex for a select group of customers, deeply embedding yourself to empower their engineering teams and enhance coding workflows.Collaborate closely with customers to design and execute AI-enhanced development workflows, from rapid prototyping to scalable production implementations.Create high-quality demos, reference implementations, and workflow automations, using Codex as an integral part of your development process.Facilitate large-scale workshops, technical deep dives, and practical enablement sessions that help engineering organizations effectively and safely adopt AI coding tools.Contribute technical resources, including examples, guides, patterns, and best practices, to the OpenAI Cookbook, aiding the wider developer community in leveraging Codex.Collect detailed product feedback from real customer deployments to translate into actionable product proposals and insights for internal teams.Shape customer strategy and influence decision-making by elucidating the role of AI coding tools in their software development lifecycle.

airapps is looking for an AI/ML Engineer in Munich to help shape the next generation of technology products. This position centers on developing and refining artificial intelligence and machine learning models that support the company’s product goals. What you will do Design and implement AI and machine learning models for real-world applications Work closely with colleagues from different teams to integrate models into products Focus on optimizing model performance and ensuring scalability Collaboration Expect to partner with cross-functional teams throughout projects, sharing knowledge and solving challenges together as new solutions are developed. Role overview This role offers the chance to work on projects that push technology forward, with a focus on practical results and continuous improvement.

JOIN US IN TRANSFORMING EDUCATIONBecome part of our mission to create the leading AI learning companion for 1 billion students worldwide.At Knowunity, we envision a future where quality education is accessible, enjoyable, and beneficial for every student across the globe. Founded in 2020 straight out of high school, we are dedicated to redefining the learning experience for students.Our innovative AI learning companion is already utilized by millions of students each week. Recently, we secured €27 million in funding—the largest education investment in Europe in the past three years. The AI learning sector is at a pivotal moment, enabling unprecedented personalization at scale, and we are determined to establish the first AI learning unicorn in this domain.Join our talented team of 60 passionate builders, committed to serving 1 billion students globally. If we realize our product vision, you will contribute to creating something transformative that will redefine education as we know it.Seize the opportunity to be part of a generational company.YOUR ROLEYou will have the chance to shape the future of student learning. Engineering is the heartbeat of our organization; it drives Knowunity's vision. You will take ownership of this educational revolution, focusing on:Innovative video content creation at scale with true personalization.Developing predictive models for topics to provide tailored guidance and personalization, tapping into the vast potential of AI.Creating diverse and guided learning practices to modernize the approach to student engagement.Implementing multi-modal outputs, moving beyond text-heavy formats to interactive cards, graphs, and practice elements.Understanding the learning styles of Generation Alpha and adapting our solutions accordingly.Exploring how AI companions can foster social learning and community among students.Quickly deploying A/B tests to millions of users to refine our offerings.YOUR IMPACT:Lead the end-to-end development of AI products that deliver tangible value to students across our extensive user base.

About the RoleJoin OpenAI as a Partner AI Deployment Engineer (P-ADE) and play a pivotal role in driving technical execution with our partners throughout EMEA. Your main objective will be to facilitate the scaling of customer deployments leveraging the robust OpenAI platform. This position encompasses a diverse array of customer use cases, focusing on the design, implementation, and enhancement of production-grade AI solutions delivered via our partners.In this position, you will collaborate closely with partner delivery teams, Solutions Engineers (SEs), Forward Deployed Engineers (FDEs), and fellow ADEs to guide customer projects from initial design stages to stable, scalable production environments. Your contributions will expedite the realization of value, mitigate delivery risks, and ensure all solutions adhere to OpenAI’s stringent standards for quality, safety, and reliability. Engage with Go-To-Market (GTM), Applied, and Research teams to foster partner-driven enterprise adoption.This position is available in either Paris or Munich, utilizing a hybrid work model of three in-office days each week, with relocation assistance provided for new team members.Your Responsibilities:Serve as the primary technical delivery partner for OpenAI's partners across EMEA, facilitating customer deployments across various industries and use cases.Partner with delivery teams and customer stakeholders to transform solution designs into deployable, production-ready architectures on the OpenAI platform.Enhance customer time to value through hands-on prototyping, integration support, architectural guidance, and troubleshooting during critical delivery phases.Work collaboratively with SEs, FDEs, and other ADEs to ensure appropriate technical expertise is engaged throughout the design and production rollout phases.Assist partners in operationalizing solutions, addressing scalability, reliability, security, and safety considerations essential for enterprise production environments.Contribute to the development of reusable deployment patterns, reference architectures, and delivery guidelines that promote efficient execution across partner engagements.Act as a technical quality and governance checkpoint during deployments, ensuring solutions meet OpenAI’s standards and best practices pre- and post-launch.Gather and synthesize feedback from real-world customer deployments, sharing insights with Applied, Research, and partner teams to refine delivery playbooks and enhance platform capabilities.Ideal Candidate:Possess a minimum of 8 years of relevant experience in technology deployment, engineering, or a related field.

Join our innovative team as an Agentic AI Software Engineer. We are seeking a talented and driven individual who possesses a strong foundation in software engineering, complemented by practical experience with cutting-edge AI technologies. Your role will involve partnering with clients to design and implement sophisticated, production-ready systems that utilize LLMs, autonomous agents, and scalable cloud infrastructure.Key Responsibilities:Architect, develop, and deploy scalable, production-grade applications on leading cloud platforms such as AWS, GCP, or Azure.Create and manage agentic AI frameworks, incorporating multi-step workflows, tool integrations, and autonomous decision-making capabilities.Oversee the complete lifecycle of AI feature implementation, from proof of concept to full-scale deployment.Develop high-performance APIs and backend services for AI applications using technologies like FastAPI, Flask, or Spring Boot.Integrate generative AI solutions, including LLMs, vector databases, and RAG pipelines, into enterprise environments.Design and implement robust orchestration and retrieval mechanisms for scalable AI applications.Establish and maintain MLOps/LLMOps pipelines and CI/CD workflows for seamless integration, evaluation, and deployment.Ensure software quality through rigorous testing, monitoring, observability, and performance tuning.Collaborate effectively with clients and cross-functional teams to gather requirements and deliver impactful AI solutions.

Intrinsic Robotics, a pioneering venture within Alphabet, is dedicated to revolutionizing the landscape of industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will reshape the capabilities of industrial robotics in the near future, with software and data at the heart of this transformation. Our mission is to make intelligent industrial robotics accessible and usable for a multitude of businesses, entrepreneurs, and developers. We are a vibrant group of engineers, roboticists, designers, and technologists, all committed to unleashing the creative and economic potential of industrial robotics.Role OverviewIn your capacity as a Senior Research Engineer specializing in Data Engine, you will spearhead the design and implementation of systems that facilitate the training, deployment, and utilization of large-scale AI models for robotics. Your leadership will shape the technical direction, mentor fellow engineers, and ensure the establishment of robust, scalable data pipelines and machine learning infrastructure essential for enhancing the capabilities of robots in real-world settings. Your contributions will empower both internal teams and external partners by delivering accessible tools and infrastructure for integrating advanced AI methodologies into robotic applications.Key ResponsibilitiesLead the architecture and execution of infrastructure for training and deploying large-scale robotic foundation models.Manage the development and upkeep of data pipelines for the collection, processing, and integration of real-world robot data into machine learning workflows.Enable machine learning researchers and engineers with user-friendly tools and infrastructure for leveraging AI techniques in robotics.Collaborate with product and engineering teams to specify infrastructure needs and deliver effective solutions for both partners and customers.

Full-time | Munich | Seed Stage | Equity + SalaryJoin Us in Building a Transformative CompanyAt Knowlix, we are dedicated to amplifying the productivity of small businesses tenfold. Our goal is to establish ourselves as the premier platform for human-AI and AI-to-AI collaboration.Although we are in the early stages, we have grand ambitions. This is a unique chance for you to influence a product that will reach millions and set industry standards.We prioritize speed, frequent iterations, and exceptional quality. If you are passionate about building, deploying, and scaling innovative solutions, particularly leveraging AI for significant improvements, this is the opportunity for you.Why Choose Knowlix Now?We are a well-funded seed-stage startup, supported by top-tier investors and seasoned founders.Our technology is functional and our initial users are experiencing its transformative effects.We are targeting a vast market with a product that revolutionizes work dynamics.As one of our early team members, you will have significant influence and ownership over the company’s direction.We believe that rapid progress is achieved through focused efforts and continuous iteration.This isn't just a job; it's a chance to contribute to a once-in-a-generation company if we execute our vision effectively.The RoleWe are seeking a pragmatic and enthusiastic Backend Engineer with robust skills in Python and a strong understanding of SQL and cloud infrastructure. You will collaborate closely with AI researchers, product designers, and DevOps engineers to create a seamless interface between human users and our AI systems. Familiarity with Go, Rust, and Swift is advantageous, especially for future components such as microservices or mobile interfaces.

About UsAt Supermodular AI, we empower enterprises to successfully undergo AI transformation. Our philosophy is rooted in the belief that strategic insights are best realized through practical execution.While many organizations recognize the transformative potential of AI, they often face challenges in translating that vision into substantive operational changes. The hurdles typically lie not within the technology itself, but in integrating AI into intricate systems and workflows that have been developed over time. We assert that AI transformation cannot be purely theoretical; true strategy is forged through the actual building, deployment, and operation of AI systems within the organization.Our approach involves direct collaboration with enterprise IT and software teams to architect and implement AI systems in real-world settings. This includes facilitating engineering teams to adopt innovative AI-native development practices, frameworks, and technical resources that redefine software development and operations. Additionally, we create tailored AI systems that address complex modernization challenges that conventional strategies have failed to overcome.Our team boasts a robust history of devising impactful AI systems and enhancing engineering capabilities within complex enterprise environments. If you thrive on tackling challenging enterprise problems and transforming ambitious concepts into functioning systems, Supermodular AI is the place for you.Your RoleAs a Senior Deployment Strategist at Supermodular AI, you will be at the forefront of driving AI transformation within large enterprises.In this pivotal role, you will engage with enterprise leaders, engineers, and operators to gain insights into their current systems and workflows, identify opportunities for meaningful AI integration, and spearhead initiatives that propel the organization forward.You will collaborate closely with an AI Product Manager, forming a dynamic leadership duo for each project. Together, you will identify critical problems to address and define the desired outcomes.Taking ownership of the technical design of AI solutions, you will lead the execution process, working alongside Forward Deployed Software Engineers to ensure our systems perform reliably in actual enterprise environments.This position is ideal for individuals who are adept at navigating ambiguous scenarios, bridging AI capabilities with organizational realities, and leading intricate transformation efforts in large organizations.

Who We Are Helsing is a pioneering defense AI company dedicated to safeguarding our democracies. Our mission is to attain technological leadership, ensuring that open societies can make sovereign decisions and uphold their ethical standards. As participants in democratic societies, we recognize our unique responsibility to thoughtfully navigate the development and deployment of powerful technologies such as AI. We take this responsibility with utmost seriousness. We are a dedicated team of engineers, AI specialists, and client-facing program managers seeking mission-driven individuals to join our European teams and leverage their skills to tackle some of the most complex and impactful challenges. Our culture embraces transparency and open dialogue regarding the use of technology in defense, its advantages, and its ethical considerations. The Role As a Deployed AI Engineer, you will play a crucial role in ensuring that software makes a significant impact. You will be responsible for integrating cutting-edge software into complex systems, defining and executing the end-to-end process to deliver innovative capabilities in some of the most demanding environments. For instance, you will work closely with customer avionics engineers to comprehend the data structures and APIs utilized in aircraft mission control systems. Your contributions will be instrumental in enhancing our operational effectiveness.

Role Overview Brainlab is seeking a Senior Machine Learning Engineer focused on Video AI to join the team in Munich. This position centers on improving video processing for medical imaging and patient care. The work combines machine learning and computer vision to advance healthcare technology. What You Will Do Develop, test, and deploy machine learning models for video analysis in medical applications Work closely with cross-functional teams to integrate new solutions into Brainlab’s products Contribute technical expertise to projects that improve the quality and efficiency of healthcare tools Impact Efforts in this role will shape Brainlab’s video AI capabilities, with a direct effect on the performance of medical imaging systems and patient outcomes. Collaboration across teams ensures solutions remain technologically advanced and clinically relevant.

About Our TeamAt OpenAI, our AI Success Engineer team collaborates with some of the most forward-thinking organizations globally to transform cutting-edge AI technologies into substantial business outcomes. We support our clients from initial deployment through to comprehensive enterprise adoption. Our work encompasses technical integration, workflow transformation, and ongoing program and product delivery.Our diverse clientele includes rapidly growing digital native companies, major global enterprises, government agencies, and educational institutions. Each engagement presents a unique chance to influence how AI enhances productivity, innovation, and the future of work. This role is pivotal to our mission.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for OpenAI's key customers. Your responsibilities include driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value through OpenAI’s platform.This position blends technical leadership, program management, customer advisory, and product influence. You will collaborate closely with customer teams, analyze workflows, lead configuration and enablement efforts, manage deployment strategies, and guide customers towards impactful use cases that highlight the full potential of our platform.Collaboration with Sales, Solutions Architecture, Product, and Research teams will be crucial to ensuring a seamless and successful customer experience at every interaction. Success in this role will be defined by accelerated adoption, increased customer engagement depth, navigating strategic use cases into production, and assisting customers in demonstrating tangible business impact.This position is based in our Munich office, utilizing a hybrid work model (3 days/week in the office) and we offer relocation assistance for new hires.Your Responsibilities:Cultivate and maintain the technical relationship with post-sale customers, acting as their trusted advisor for deployment, adoption, and value realization.Manage account health, adoption rates, and ongoing technical success across your portfolio.Facilitate technical enablement and configuration sessions across our extensive product suite.Identify and validate use cases by integrating with customer teams to comprehend workflows and challenges.Lead coordination across multiple workstreams at the account level, including new product activations, change management, and customer readiness.

Join avomind as an AI Engineer Consultant, where you will leverage your expertise in artificial intelligence to drive innovative solutions. Collaborate with a dynamic team to develop and implement cutting-edge AI technologies that enhance business processes and improve decision-making. Your role will involve analyzing complex data sets, designing AI models, and providing strategic insights to clients.