PandaDoc is on a mission to build the future of documents. We provide an all-in-one document workflow automation platform that helps fast-scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. We empower more than 75,000 growing organizations to thrive by taking the work out of document workflow.  Were a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! Were constantly innovating and releasing new features to meet the evolving needs of our customers, while also staying focused on stability, quality, and performance. Our Engineering team is a diverse and talented group of about 200 individuals who are passionate about building a world-class product. While this is a fully remote position, wed love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever youd like to connect with colleagues in person. <h2>The Team</h2> Were forming multiple AI Agent teams across three strategic tracks: Growth, Customer Value, and App Platform to build the future of AI-powered agreements creation and management at PandaDoc. The teams’ mission is to enable users to create and manage business documents—like contracts, quotes, and proposals—quickly and intelligently with the help of large language models and our internal AI platform. As a Back-End Engineer on this team, you’ll play a key role in designing and building the systems that power these new experiences. That includes integrating with our AI platform, orchestrating multi-step generation workflows, ensuring scalability and reliability, and working closely with front-end and ML engineers to deliver fast, smooth, and secure user flows. This is a rare chance to work on greenfield initiatives with real product impact and deep technical challenges—from building APIs for smart content generation and management  to evolving our models to support AI-first use cases. If youre excited about creating something from scratch and pushing the limits of intelligent automation, we’d love to talk. <h2>Our stack</h2> <ul> <li>Service-oriented architecture but be prepared to deal with legacy code as well such as monolithic services based on the Django framework</li> <li>Python services are mostly written using AsyncIO frameworks and libraries, but we also have Django-based services with Celery workers under the hood</li> <li>Amazon Web Services and K8S are used extensively for provisioning and deploying workloads</li> <li>The main cross-service communication transports are NATS, gRPC, Kafka, and RabbitMQ</li> <li>Prometheus/Grafana stack for monitoring and alerting</li> </ul> <h2>Youll be a perfect fit for our team if you have</h2> <ul> <li>At least 5+ years of development experience with Python</li> <li>Experience with the AsyncIO and Django frameworks</li> <li>Hands-on experience in developing microservice-based architectures</li> <li>Solid proficiency in working with relational databases (SQL queries, migrations, optimization)</li> <li>Working knowledge of message queues (e.g., RabbitMQ, NATS, Kafka)</li> <li>Experience working with LLMs, AI/ML systems, or AI-powered products</li> <li>Familiarity with agent frameworks (e.g: LangChain, LlamaIndex, or similar)</li> <li>Understanding of security best practices for AI systems (prompt injection prevention, data privacy, etc.)</li> <li>Practical skills in writing units and end-to-end tests</li> <li>Commitment to high-quality code and best engineering practices.</li> <li>Empathy for end users and a focus on creating great product experiences</li> <li>Ability to explain complex technical concepts to product managers, designers, customer support, and other engineers</li> <li>Proficiency in English, both written and spoken</li> </ul> <h2>Benefits</h2> <ul> <li>Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.</li> <li>We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).</li> <li>Work schedule aligned with EU time zones.</li> <li>Honest, open culture that values constructive feedback.</li> <li>Professional and personal development within a collaborative, supportive team.</li> <li>Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.</li> </ul> <h2>Our Culture</h2> At PandaDoc, we value work-life balance, supportive coworkers, and engaging virtual team-building events. Although distributed worldwide, we build strong connections using technology. Our company lives by values of integrity and transparency, and we’re proud of a product that truly helps our customers. For more info, visit our <a href="https://www.pandadoc.com/" target="_blank">website</a> or check out our <a href="https://www.linkedin.com/company/pandadoc/life/pdcompanyculture" target="_blank">LinkedIn</a>.   PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

PandaDoc

Senior Python Engineer - AI Agents

PandaDoc

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