AI Process & Agent Solutions Engineer (m/w/d)

Langdock

HELP US CHANGE THE WAY THE WORLD WORKS BUILD SOMETHING THAT MATTERS. Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 6,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential. THE ROLE A Product Engineer at Langdock owns features end to end. You take a customer problem, scope it, design the solution, build it across the stack, ship it, and stay close to it after release. Product Engineers are close to users. You join customer calls, watch people use the product, read support context, and use that input to decide what should exist and how it should behave. This gives you a lot of product influence. The person building the feature is expected to shape the feature. We are deliberately resource-constrained. For most reasonable feature ideas, the question is not whether we should build them, but when. Product Engineers are the people who turn that prioritization into shipped product quickly, without lowering the bar. From a product perspective, we like how companies like Linear build software: intuitive, efficient and with a high quality standard. The bar is not just whether a feature works. The bar is whether it feels inevitable. We want that level of product taste while solving a much more complex AI and enterprise problem. WHAT YOU WILL WORK ON You will work across our main product surfaces: Chat, Agents, Workflows, Mobile and admin tooling. Examples of the kind of projects Product Engineers have led: * Evals for agents. We need infrastructure and product surfaces that let us evaluate agent behavior, compare runs, catch regressions, and help customers trust what agents do. * Library, a system for organizing attachments and files uploaded across the platform. The challenge is not only storage; it is making user and workspace knowledge retrievable, understandable, and governed over time. * Governance for agents in enterprise workspaces. Admins need to manage agents at scale: who can create them, who can use them, how they are shared, how they are audited, and how they fit into existing security policies. * Excel and Outlook plugins that bring Langdock into the tools enterprise users already live in. * The Langdock Workflows product, which allows users compose multi-step automations with agents, conditions, loops, structured outputs, and human-in-the-loop nodes. You will pick up an area of the product to work on over time and shape where it goes next. TECH STACK * TypeScript across a Turborepo monorepo * Next.js, React, Tailwind on the front end * Node.js, PostgreSQL with Prisma (and pgVector), Redis with BullMQ on the back end * React Native and Expo for the mobile app * Linear for ticket management * Datadog and Sentry for observability You should be familiar with most of this. We trust you to pick up the rest quickly. HOW WE SHIP * Small temporary squads of 2 to 3 engineers around a topic. Squads form, ship, and dissolve. * Every change is linked to a Linear ticket and ships via PR. CI runs lint, tests, and AI review. One human review is required. * We deploy continously to production. * Engineers have the opportunity to join customers on-site, to sit with real users during hackathons or workshops * We use AI tools heavily in engineering. You have freedom in the tools to use (eg. Cursor, Claude, Codex). We are building a strong harness that allows engineers to move fast while shipping high quality software. * We are building a strong operating system around AI-assisted shipping: clear ticket context, focused branches, AI review before human review, screenshots or videos for product changes, and production verification after release. * The engineer who ships a change owns it in production. If something breaks, you lead the fix. WHAT WE ARE LOOKING FOR * 3 to 6 years of full-stack experience shipping production software people actually use. * Strong in TypeScript, React, and Node. Comfortable with Postgres, Redis, queues, and async work. * Very driven. You have high standards for yourself, move fast without needing to be pushed, and want to do the best work of your career. * Close to users. You want to understand why people behave the way they do, and you use that understanding to make product decisions. * Able to take a vague problem to a shipped feature. You scope, decide, implement, test, and iterate. * A working understanding of how LLMs behave: context windows, tool calling, streaming, and the differences between major providers. * Heavy user of AI tooling in your own development workflow, with opinions on what works and what does not. We are looking for people who are already compounding their output with AI. * Demonstrated ability to ship things end to end: side projects, open source, products with real users, or something equivalent. WORKING HERE We work from one office in Berlin, Greifswalder Str. 212. Engineering is fully in person; we believe the hardest problems get solved faster at a whiteboard than in a Slack thread. Most engineers start around 8:30. Lunch and dinner are together when people stay. Running and gym are part of the routine for many of us. COMPENSATION Top of market, transparent levels, all roles include equity. Levels are tied to scope, not negotiation or years of experience. We narrow down the range early in the process. NEXT STEPS If this sounds like your kind of work, we would like to meet you. We move fast. Most processes complete within two weeks.

charles

PLATFORM ENGINEER (M/W/D) PERMANENT EMPLOYEE, FULL-TIME · BERLIN (HYBRID)  THE IMPACT YOU WILL MAKE From socks, and petfood, to cosmetics, charles is helping countless brands reach their loyal customers every day, one conversation at a time. As a Platform Engineer at charles, you’ll help drive our product and infrastructure forward, enabling us to revolutionize conversational commerce. You’re a generalist with a passion for infrastructure and operations. You’ll work closely with the other Engineers to build scalable, high-performing systems, while improving system architecture, resolving tech debt, and ensuring seamless user experiences. Your contributions will result in reliable, data-driven solutions that support millions of users and push the boundaries of messaging-driven commerce. THIS IS WHAT YOU WILL BE DOING You'll build and operate our internal developer platform: the core services, APIs, and infrastructure that every product team builds on top of. That means writing software, not just configuring it, and standing up infrastructure that holds up under real production load. * You will be a part of a team that designs, develops, and operates the core services, APIs, and infrastructure that every product team builds on top of. Examples: building a billing API, maintaining Kubernetes operators, building an authentication broker, optimizing performance in our core monolith, and improving security in our link shortening service. * You will regularly partner with product teams to investigate issues, learn their use cases, and ship platform changes that hold up in production. * You'll join our on-call rotation as part of our "you build it, you run it" philosophy. * You'll have real room to drive cost and reliability initiatives that have measurable, company-wide impact. * You'll build the automations that make our whole software development lifecycle faster and more robust. YOU'LL FIT GREAT WITH THESE SKILLS AND VALUES * 3+ years of software engineering experience. You're a generalist - comfortable moving between writing a service, debugging infrastructure, and improving a pipeline in the same week. * You can build and ship production services in Go or TypeScript; not just scripts and glue. You also know Bash and have the judgment to pick the right tool instead of forcing your favorite one. * You can build and operate cloud infrastructure that survives real production workloads, ideally on GCP. * You've worked with GitHub Actions or similar CI/CD tools, and you know what a healthy and efficient pipeline looks like. * You have a solid grasp of scalable system design, distributed systems, cloud technologies, and how to roll out infrastructure changes. * You're comfortable with remote work and asynchronous communication. You also know that good collaboration needs visibility and cooperation, not just output. * You use AI tools effectively without handing over the steering wheel. * Product and business sense: you understand customer needs and focus on solving the right problems, not just building technically interesting solutions. * You're a self-directed learner. You don't need to know our whole stack on day one, but when you hit something unfamiliar, you dig in, ask good questions, and follow through. We'll give you room and context to grow; you bring the drive. Meeting all requirements is not necessary to apply. We encourage candidates who meet some but not all of these qualifications to submit their application. THINGS WE OFFER * Working on challenging and impactful projects at the forefront of one of the most innovative industries in Europe * Collaborating with some of the leading experts in Conversational Commerce and disrupting a fast-growing industry * Joining forces with a unique community of Tech, Product, Sales, Success, and Marketing experts committed to building the best product in Conversational Commerce. * High autonomy and visibility across the business with the option to own and drive new initiatives * Celebrating our major and micro-wins as well as getting to know each other better at regular team-building events * Sharing VSOP (virtual stock options) in the ownership and success of Charles * Working in a vibrant office in the heart of Berlin overlooking the Wall memorial * Flexible working model: Hybrid setup with remote work options and flexible hours * Earning a competitive compensation package What else we offer? * Urban Sports Club membership * Mental Health support through OpenUp * Free company lunch on Thursdays * A friendly, open, multicultural work environment * Dog-friendly office * Discounts on BVG tickets About us It’s better to have a conversation charles is a conversational AI and CRM for consumer brands that attracts, converts, services, and retains customers via AI agents, marketing automations, bulk campaigns, or an inbox for human agents. We help brands to maximize customer engagement and revenue through conversational channels such as WhatsApp. Businesses can reach customers in an interactive way, collect data to expand customer understanding and guide them to targeted offers that convert. charles’ AI Agents deliver hyperpersonalized experiences at scale while ensuring enterprise-grade security and GDPR compliance. Founded by Kapten & Son co-founder, Artjem Weissbeck, and ex-McKinsey ecommerce lead, Andreas Tussing. charles is backed by Salesforce Ventures, Accel and HV Capital and has raised over EUR 30 million to build the global leader in conversational marketing SaaS for global consumer brands. Charles and diversity: be yourself and no-one else Different perspectives bring innovation and richer work environments. We’re committed to building an inclusive company where you always feel like you belong, whatever your age, gender identity, ethnicity, religion, sexual orientation, disability, status or neurodiversity. These values sit at the heart of our hiring process, so we can create a welcoming workplace where everyone feels valued and heard.

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb.  Our ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and Human agent Assistant! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb.  You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.  Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day:  * Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems * Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products * Learn and share the latest AI/ML technologies with the team. Your Expertise: * PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience * Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks * Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar) * Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices * Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations   Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.  We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $196,000—$227,000 USD