AI Deployment Engineer | OpenAI

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.

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.

About the RoleJoin OpenAI as a Partner AI Deployment Engineer (ADE) and take charge of our senior technical collaborations with renowned firms such as McKinsey, BCG, and Bain on a global scale. In this pivotal position, you will serve as the key technical liaison for MBB advisory partners, guiding complex enterprise proposals and transformation initiatives to ensure that OpenAI’s platform is strategically positioned, designed, and implemented to align with executive-level AI objectives.This role is uniquely situated at the convergence of strategy, architecture, and execution. You will collaborate closely with MBB partners and principals to translate high-level executive strategies into scalable, production-ready AI solutions leveraging the OpenAI platform. Your responsibilities will span various industries and projects, where you will shape solution direction, inform architectural choices, and coordinate seamless delivery between OpenAI and partner teams.This position is available in Munich or Dublin, operating under a hybrid work model that allows for three days in-office each week. We also provide relocation assistance for new hires.Key Responsibilities:Serve as the senior technical representative for McKinsey, BCG, and Bain in high-priority enterprise initiatives and transformation programs.Act as the primary technical liaison with MBB Partners and Principals during proposal development and client engagements.Translate board-level AI strategies into actionable technical architectures, delivery plans, and platform roadmaps.Provide architectural guidance across multiple concurrent programs, ensuring consistency, quality, and alignment with OpenAI standards.Coordinate ADEs and Forward Deployed Engineers (FDEs) across MBB-led projects, engaging the right expertise at each phase.Guide partners and clients through critical decisions regarding platform design, scalability, governance, safety, and reliability.Assist in developing repeatable industry solutions and transformation patterns utilizing the OpenAI platform.Act as a technical escalation point during complex or high-risk delivery phases to mitigate execution risks.Represent MBB partners internally, synthesizing insights from large-scale programs into actionable feedback for Product and Research teams.You Will Succeed in This Role If You:Have experience in a highly technical role at McKinsey, BCG, or Bain.

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.

About Our TeamAt OpenAI, our Go-To-Market Partnerships team is dedicated to forging a strategic, global ecosystem of partnerships aimed at accelerating customer success, promoting enterprise AI adoption, and fostering sustainable growth aligned with our mission of achieving AGI. We collaborate extensively with product, research, sales, legal, and communications teams to ensure a unified strategy and meticulous execution with our key partners.About the PositionWe are seeking a dynamic Global Partner Director for the BCG Alliance to spearhead and expand OpenAI's collaboration with the Boston Consulting Group.In this pivotal role, you will be the primary executive responsible for managing the global BCG relationship. Your mission will encompass defining strategic direction, creating a robust operating model, and translating alignment into scalable commercial and transformational results across various regions and industries.You will have full accountability for the partnership's overall health, performance, and long-term growth, necessitating a strong executive presence, sound judgment, and a commitment to accountability.Your ResponsibilitiesOversee the global BCG relationship, focusing on pipeline growth, enterprise impact, and long-term expansion across targeted sectors.Design and implement OpenAI's operational framework for the BCG partnership, covering governance, joint planning, and execution schedules across regions.Act as OpenAI's senior executive liaison to BCG's global leadership, including BCG X and relevant practice leaders.Establish joint priorities, address escalations, and ensure coordinated execution across global and regional teams.Lead the co-selling of intricate, CxO-level enterprise AI transformation initiatives.Collaborate directly with enterprise executives (CEO, CDO, CIO, CTO, Board) alongside BCG partners to shape AI strategy, operational frameworks, and value realization.Coordinate with internal OpenAI stakeholders (product, research, GTM, legal, communications) to support BCG-led strategic initiatives and flagship projects.Establish and uphold clear IP, quality, and conflict-of-interest guidelines across joint endeavors and co-developed assets.Define industry-specific strategies and select lighthouse accounts in collaboration with BCG across priority sectors.Build and manage a dedicated BCG alliance team over time, covering partner management, technical leadership, and enablement.

Role overview OpenAI seeks a Forward Deployed Engineering Manager to join the team in Munich, Germany. This role centers on leading engineers as they deliver AI solutions tailored to client needs. The manager shapes team priorities, guides technical work, and influences how AI technologies are applied in practical settings. What you will do Lead and mentor a team of engineers focused on deploying AI in customer-facing projects Collaborate with colleagues from various disciplines to bring AI technologies into client environments Promote strong team performance and encourage high technical standards Location This position is based in Munich, Germany.

About Our TeamJoin our dynamic Technical Success team, dedicated to ensuring the seamless and secure implementation of ChatGPT and OpenAI API applications for a diverse range of developers and enterprises. As trusted advisors and strategic partners, we empower our customers to unlock the full potential of our innovative models and products. In the role of Solutions Engineer, you will collaborate with organizations across various industries, guiding them in transforming their operations through advanced solutions such as customer service optimization, automated content generation, and unique applications leveraging our cutting-edge models.About the PositionWe are seeking a highly skilled pre-sales Solutions Engineer to partner with our Large Enterprise and Digital Native clients, ensuring they derive substantial business value from our offerings via ChatGPT and the OpenAI API. You will engage with senior business stakeholders to identify their pre-sales requirements, shape their AI strategies, and pinpoint high-impact use cases and applications. Your role will involve collaboration with both business and technical teams to showcase the advantages of our solutions, recommend architectural frameworks, and support the initiation of their implementation and development efforts. You will work closely alongside Sales, Customer Success, Security, and Product teams to ensure a holistic approach to client engagement.This position is based in our Munich office, operating under a hybrid work model of three days in-office each week. We also provide relocation assistance for new hires.Key Responsibilities:Provide an outstanding pre-sales customer experience by delivering expert technical knowledge, articulating the value proposition, and addressing inquiries related to our products, APIs, and large language models (LLMs).Illustrate how the integration of ChatGPT and the OpenAI API can fulfill customers’ business objectives and deliver significant value through activities such as building and showcasing demos, defining use cases, suggesting architectural patterns, and offering comprehensive technical guidance.Develop and maintain documentation, guides, and FAQs to address common inquiries and requirements identified during the pre-sales phase.Cultivate customer advocacy by representing the customer perspective within internal teams, gathering feedback, identifying trends, and integrating insights into product development efforts.Act as the initial point of contact for security and compliance inquiries, clarifying standardized resources, guiding customers to relevant materials (e.g., trust portal), and escalating complex requirements as needed.

About Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates closely with clients to transform groundbreaking research into robust production systems. We thrive at the intersection of delivering exceptional customer experiences and advancing our core platform capabilities.About the PositionAs a Forward Deployed Engineer (FDE), you will spearhead intricate end-to-end deployments of state-of-the-art models, working directly with our most pivotal clients. You will take ownership of discovery, technical scoping, system architecture, development, and production launch, closely collaborating with customer engineering and domain experts.Your success will be measured by production integration, quantifiable workflow improvements, and evaluation-driven insights that inform product and model development. Your role will involve significant collaboration with our Product, Research, Partnerships, Governance, Risk and Compliance (GRC), Security, and Go-To-Market (GTM) teams.This position is based in Munich, following a hybrid work model of three days in-office each week. We provide relocation support and anticipate travel requirements of up to 50%.Your ResponsibilitiesLead the technical delivery across various deployments from initial prototype to stable production environmentDevelop full-stack systems that drive customer value and enhance learning processesEngage closely with customer teams, assess their requirements, and facilitate the adoption of your solutionsDefine project scopes, sequence deliverables, and proactively eliminate obstaclesBalance trade-offs between scope, speed, and quality, adjusting strategies to maintain delivery timelinesContribute directly to the codebase when needed to ensure clarity and progressDocument effective working patterns in the form of tools, playbooks, or reusable components for team utilizationProvide valuable field feedback to enhance Research and Product understanding of model effectivenessFacilitate team progress through clear communication and diligent follow-throughIdeal Candidate ProfilePossess over 5 years of engineering or technical deployment experience, particularly in customer-facing rolesDemonstrated ability to scope and deliver intricate systems in fast-paced or uncertain environmentsProficient in writing and reviewing production-quality code across both frontend and backend, including Python, JavaScript, and other relevant technologies

About Our TeamJoin our dynamic Technical Success team at OpenAI, where we ensure the safe and effective implementation of ChatGPT and OpenAI API applications for developers and enterprises. As trusted advisors and thought leaders, we empower our clients to unlock the full potential of our innovative models and products. As a Solutions Engineer, you will guide organizations in various industries to revolutionize their business operations through solutions such as enhanced customer service, automated content creation, and groundbreaking applications leveraging our latest models.About the PositionWe are on the lookout for a skilled pre-sales Solutions Engineer to collaborate with our Digital Natives clientele. Your mission will be to ensure they derive substantial business value from our models via ChatGPT and the OpenAI API. You will engage with senior business stakeholders to assess their pre-sales requirements, steer their AI strategies, and pinpoint the most valuable use cases and applications. Working alongside business and technical teams, you will showcase the benefits of our solutions, propose architectural patterns, and facilitate the initiation of their implementation and development processes. Close collaboration with Sales, Customer Success, Security, and Product teams will be essential.This role is located in our Munich office, adopting a hybrid work model with three days in the office each week. We also provide relocation assistance for new hires.Key Responsibilities:Deliver outstanding pre-sales experiences for prospects and customers, offering technical guidance, articulating value propositions, and addressing inquiries related to products, APIs, and LLMs.Illustrate how leveraging ChatGPT and the OpenAI API aligns with customers’ business objectives, delivering significant value through demo presentations, use case scoping, architectural recommendations, and comprehensive technical advisory.Develop and maintain documentation, guides, and FAQs that address common inquiries and needs identified throughout the pre-sales journey.Cultivate customer advocacy by representing their voice within internal teams, gathering feedback, recognizing trends across customers, and integrating insights into product development strategies.Act as the primary resource for security and compliance inquiries, providing standardized materials, directing customers to relevant resources (e.g., trust portal), and escalating complex needs to the appropriate teams.

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.

At Mistral AI, we harness the transformative power of artificial intelligence to streamline workflows, enhance productivity, and foster creativity. Our cutting-edge solutions are designed to seamlessly integrate into everyday operations, empowering users across various sectors. We are committed to democratizing AI through high-performance, open-source models and solutions tailored for enterprises, whether on-premises or in the cloud. Our flagship product, le Chat, serves as an intelligent assistant for both personal and professional use. We pride ourselves on our vibrant and collaborative culture, where a diverse team of innovators is united in their passion for AI's potential to revolutionize society. Our workforce spans multiple countries, including France, the USA, the UK, Germany, and Singapore, fostering creativity and teamwork in a competitive landscape. Join us at Mistral, where we are shaping the future of AI and making a meaningful impact together. Learn more about our culture at [Mistral Careers](https://mistral.ai/careers). As an AI Deployment Strategist, you will lead the charge in promoting and implementing Mistral's AI solutions, collaborating closely with clients to transition from strategic vision to practical execution. This pivotal role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring that our customers achieve significant and transformative results. You will engage with senior leaders to formulate AI roadmaps, partner with our Applied AI team to implement production solutions, and facilitate smooth transitions from presales to postsales. Your contributions will be crucial in driving customer success, effectively bridging the gap between strategy and execution. This position is perfect for individuals who excel in fast-paced environments, relish solving complex business challenges, and are enthusiastic about leveraging AI to create tangible impact.

Join Our Innovative TeamAt OpenAI, our Forward Deployed Engineering team collaborates directly with clients to transform pioneering research into scalable production systems. We sit at the nexus of customer engagement and core platform development, ensuring that our solutions not only meet but exceed client expectations.Your OpportunityWe are seeking dynamic, customer-centric software engineers who are passionate about creating tailored software solutions that utilize OpenAI’s cutting-edge APIs to address complex client challenges. As a Forward Deployed Software Engineer (FDSWE), you will partner with clients and fellow OpenAI engineers to design and implement robust solutions that tackle their most pressing issues. Your role will involve conceptualizing abstractions to enhance service delivery speed and quality across all Forward Deployed projects.You will closely collaborate with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers working on the same accounts. Additionally, you will engage with our Research and Applied Product teams to relay valuable customer insights.This position is based in Munich, utilizing a hybrid work model requiring three days in the office weekly. We offer relocation assistance and anticipate travel of up to 50%.Key ResponsibilitiesWork closely with strategic clients to deeply understand their business hurdles and technical needs.Design, architect, and build full-stack solutions employing an experimental and iterative methodology.Develop comprehensive scopes of work and project timelines for both proof-of-concept initiatives and full-scale deployments.Engage hands-on with clients' technical teams as a trusted advisor, collaborating side-by-side to drive projects to successful completion on their infrastructure.Partner with Product, Research, and Applied teams to ensure exceptional customer experiences, project success, and actionable product feedback.Contribute to internal knowledge repositories, codifying best practices and sharing insights from customer interactions to scale the Forward Deployed Engineering function.Qualifications for SuccessA minimum of 7 years of professional full-stack engineering experience (excluding internships) in relevant roles within tech and product-focused organizations, with a preference for customer-facing experience.Proficient in various programming languages and frameworks, with a robust understanding of both back-end and front-end technologies.Demonstrated ability to lead projects and work effectively within cross-functional teams.Strong communication skills, with an aptitude for translating technical concepts for non-technical stakeholders.

Join Our Team as a DevOps Engineer!Full-time | Munich | Seed Stage | Equity + SalaryHelp Us Build a Generational CompanyAt Knowlix, we are dedicated to amplifying the productivity of small businesses. Our goal is to establish ourselves as the leading platform for human-AI and AI-to-AI collaboration.Though we are still in the early stages, our vision is expansive. This is a unique opportunity for you to influence a product that will serve millions and redefine an industry.We prioritize speed, frequent shipping, and a commitment to quality. If you are passionate about building, deploying, and scaling innovative solutions with AI, we invite you to join us.Why Choose Knowlix Now?Well-funded seed-stage startup with top-tier investors and seasoned founders.Proven technology with early users experiencing the initial magic.Targeting a substantial market with a transformative product.Be among the first team members, with significant influence and ownership in the company's direction.We believe that speed is a product of focus and iteration.This is more than a job; it's your chance to contribute to a once-in-a-generation company.The RoleIn this position, you will architect, maintain, and enhance our DevOps pipelines utilizing Bitbucket Pipelines and AWS CodePipeline, CodeBuild, and CodeArtifact. You'll design modular pipeline-as-code workflows with reusable YAML configurations and deploy advanced strategies like canary and blue-green deployments. Collaborating closely with product and engineering teams, you will facilitate progressive delivery through feature toggles and automated rollback triggers.

Role Overview OpenAI is hiring an Account Director with a focus on startups for the Munich office. This role centers on building and nurturing strong partnerships with early-stage and growth companies. The position calls for someone who understands the startup landscape and can connect founders with OpenAI’s AI technologies. What You Will Do Develop and manage relationships with startup clients in the region Guide startups in adopting OpenAI’s products to support their growth Work closely with internal teams to align OpenAI’s offerings with the needs of startups Contribute to OpenAI’s presence and reputation in the startup ecosystem Location This position is based in Munich, Germany.

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.

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.

Join our dynamic team as a Fleet Operations Driver, where you'll be a key player in deploying our e-scooters throughout Munich. In this hands-on role, you will ensure that our scooters are fully operational and ready for our users at all times.As part of Bolt, one of the fastest-growing tech companies in Europe and Africa with over 150 million users in more than 45 countries, you will contribute to our mission of making cities more accessible and enjoyable for everyone.

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.

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 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.