NEORIS ahora parte de EPAM es un acelerador Digital que ayuda a las compañías a entrar en el futuro, con más de 20 años de experiencia como Socios Digitales de algunas de las compañías más importantes del mundo. Somos más de 4,000 profesionales en 11 países, con una cultura multicultural y de startup donde fomentamos la innovación, el aprendizaje continuo y la generación de soluciones de alto impacto para nuestros clientes. Estamos en búsqueda de: Desarrollador 3-5 años de experiencia en IA Generativa Principales responsabilidades: - Diseñar, desarrollar e implementar aplicaciones de Inteligencia Artificial Generativa utilizando Python. - Participar en proyectos end-to-end de IA Generativa, desde la concepción hasta la puesta en producción. - Integrar y orquestar modelos LLMs mediante frameworks como LangChain y LangGraph. - Desarrollar soluciones en entornos cloud, aplicando buenas prácticas de escalabilidad y seguridad. - Implementar estrategias de monitorización y evaluación de modelos, incluyendo precisión, efectividad de respuestas y métricas de desempeño. - Aplicar técnicas avanzadas de prompt engineering, vectorización, RAGs, Guardrails y orquestación de agentes para mejorar la calidad de las soluciones generativa Requerimientos: Excluyentes: - 3 año de experiencia en desarrollo con Python. - Experiencia real en soluciones de IA Generativa. Ofrecemos • Contrato indefinido con salario competitivo• Modalidad flexible y posibilidad de trabajo remoto.• Plan de carrera personalizado y formación continua (certificaciones, inglés, etc.).• Participación en proyectos estables con alto componente técnico.• Flexibilidad horaria y enfoque en la conciliación.• Beneficios sociales adaptados a tus necesidades Te invitamos a conocernos en: http://www.neoris.comFacebook, LinkedIn, Twitter o Instagram: @NEORIS TAG de reclutador (LI-CF1)

Role Description This is a company built for growth. At exmox, you'll work on real systems at scale. We build high-performing consumer products used by millions in a highly competitive, global mobile gaming ecosystem powered by event-driven architectures, complex business logic, and fast feedback loops. We're scaling fast around one of the most exciting innovations in mobile gaming: a rewarded user engagement and acquisition platform that helps publishers acquire and retain players. That means distributed systems, evolving architectures, and problems that don't have textbook answers. We are looking for an Applied AI Engineer (f/m/x) to design, build, and ship production-grade systems that weave large language models, agentic workflows, and generative AI tools into the core of our product and business operations. You will own the full lifecycle from prototyping an AI-powered automation to hardening it for production on AWS working in Python and FastAPI on a modern cloud-native stack. This is not a research role. You will spend your time writing backend services, designing robust integrations with third-party AI APIs, and building agentic pipelines that replace manual business processes with intelligent, self-improving workflows. If you're excited by complex systems, high traffic, and applied AI at scale, we want to hear from you. Qualifications - Backend engineering: 5+ years of production Python experience, with strong hands-on knowledge of FastAPI or similar frameworks - LLM integration: Proven experience building LLM-powered applications including prompt engineering, context management, structured outputs, and cost optimization across providers like OpenAI or Anthropic - Agentic systems: Hands-on experience designing multi-step agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers, including state management, tool schemas, and fallback logic - API integrations: Experience integrating third-party APIs at scale, ideally including generative media or creative AI tools - Engineering mindset: You write clean, tested, production-ready code and take full ownership of what you ship - Stakeholder collaboration: Able to translate ambiguous business problems into concrete technical solutions, working closely with non-technical stakeholders Requirements - Backend development: Design and build performant, well-tested Python/FastAPI services that power AI-driven features and automations. - Agentic workflow design: Architect multi-step AI agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers. Define tool schemas, manage state, implement retry/fallback logic, and ensure human-in-the-loop controls where required. - LLM integration: Integrate LLM providers (OpenAI, Anthropic, open-source models) via APIs and SDKs. Manage prompt engineering, context-window strategies, structured output parsing, streaming, caching, and cost optimization. - Generative media API integration: Connect and orchestrate external AI creative tools such as Arcads, Seedance, Runway and more into automated content pipelines. - Business process automation: Identify, propose, and implement AI-native automations across the organization from content creation workflows to data enrichment, QA, customer support, and internal tooling. - Cloud & DevOps: Collaborate closely with our Platform team to deploy and operate services on AWS. Manage observability, and cost governance for AI workloads. - Collaboration: Work closely with product, design, and business stakeholders to translate ambiguous business needs into concrete AI-powered solutions. Benefits - Ambitious people, real ownership. Work with driven people who challenge each other openly and take full ownership of meaningful parts of the business. - A company that prioritizes growth, performance, and impact. Comfort isn’t the goal here, progress is. We set a high bar and focus on delivering real results. - A highly ambitious environment with a clear goal. Building the next European tech challenger is not just an idea, it is our mission. Everything we do is driven by the ambition to compete at the highest level and win. - Direct exposure to leadership and real decision-making. You’ll work closely with experienced leaders, contribute to strategic discussions, and see how decisions shape the business in real time. Company Description Welcome! Bonjour! Selam! Olá! Hej! 🥳 we are exmox - a Hamburg based mobile marketing agency, connecting advertisers with their highest value users through our owned and operated apps. We created an innovative business model that focuses on rewarding users for testing and engaging with the apps of our clients. Our products are available in DACH, US, UK & Canada. Right now round about 60 employees from all over the world are working here with us in Hamburg. We are a divers & funny team, always looking for new talents to join us. Looking forward to meeting you!

Role Description Support our dynamic team and contribute to the development of our AI platform. You will be working closely with our Co-Founder, Jonas, to enhance the data & AI layer in our product. Based on your strengths, there is a broad range of topics you will be working on: - AI & LLMOps - LLM Implementation: Integrate and optimize the usage of agentic LLMs operations for training creation. - Quality Management: Implement quality assurance and testing frameworks to deliver AI results with enterprise-ready accuracy. - Data Management: Implement RAG and data pipelines to collect datasets for better results and future fine-tuning. - Backend & DevOps - Scalable Architecture: Design and develop backend structures and APIs capable of supporting multiple customers. - System Architecture: Contribute to critical decisions shaping our robust B2B SaaS application. - Performance Optimization: Apply strong software development skills to create high-performance, scalable solutions. - Domain Modeling: Define and refine the domain model and business logic for our complex enterprise app. - Frontend - Integrating AI Agents into our client: Be able to integrate the AI features you built into our client, so customers can use it. - Your Own Ideas - We embrace proactivity! If you have your own ideas or want to contribute in unique ways, we're all ears. Let's innovate together! Qualifications - Experience in working with Language Models for complex tasks. - Up-to-date knowledge of the latest trends in the AI and LLM world. - Keen to improve our "Context Engineering" Layer. - Ability to write clean, maintainable code with thorough testing for seamless collaboration. - Excellent prompting skills. - Fluent in English, able to communicate complex technical concepts clearly and effectively. - Full-time availability. - Plus: Experience in developing fullstack web apps, ideally with React/NextJS/CSS/Typescript & PostgreSQL - but deep experience with other tech stacks is also great. Requirements - Help us to make training in enterprise fun. - Receive mentorship from an experienced founding team: serial entrepreneurs and founders who have worked for/with the fastest-growing tech companies. - Get one-to-one coaching from an experienced CTO. - Competitive pay for a full-time intern position with full remote work options. - Based on your performance, there is the possibility to transition to a full-time position. - We embrace a fully-remote work culture with regular gatherings. Benefits - Remote Working: Before applying, please consider whether you love working from home for a large part of your time. Recruiting Process - You send us your application. - First Introduction with Jonas to get to know Akdo. - We'll do a (remote) live coding session to check for a technical fit (a practical challenge and you can use all your favorite AI coding tools). - Deep Dive with our founders Jonas and Max to get a feeling for the team and the tasks ahead of you. - Offer - the start of your journey with Akdo. - ❗Please provide a link to your GitHub Repo and relevant work you are proud of in your application! Applications without relevant work samples will not be considered. Company Description We are Akdo, a Munich-based startup dedicated to revolutionizing corporate safety, sustainability, and compliance training through digital, efficient, and customized solutions. Akdo was founded to address the significant need for simple, company-specific, and practical training while meeting increasing regulatory requirements. - Leveraging e-learning concepts, we use AI to create strategic and hyper-personalized competency courses precisely tailored to our clients' needs. - Our courses account for varying employee skill levels, thereby enhancing different levels of expertise. - This approach promotes sustainable practices across all organizational levels.

• Architect, build, and maintain AI-first web and mobile applications using modern frameworks and engineering best practices • Lead the development of AI-powered features using Python, LangGraph, and modern LLM tooling • Design and implement agentic workflow applications, including orchestration, tool use, stateful flows, and human-in-the-loop patterns • Develop end-to-end solutions across the front end, back end, APIs, and cloud infrastructure • Write clean, scalable, and maintainable code in TypeScript (Node), JavaScript (React), and Python using established design patterns • Optimize applications for speed, scalability, reliability, and long-term maintainability • Work closely with cross-functional teams to define, design, and ship new features with strong ownership of outcomes • Provide architectural guidance, code reviews, and mentorship to engineering teams • Partner with clients to lead demos, support rollout discussions, and ensure successful adoption of AI-powered solutions