Senior Python Engineer - AI Agents at PandaDoc

, , Spain -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AsyncIO, Django, Microservices, Relational Databases, Message Queues, AI/ML Systems, Agent Frameworks, Security Best Practices, Unit Testing, End-to-End Testing, High-Quality Code, User Empathy, Technical Communication, English Proficiency

Industry

Software Development

Description

Company Overview PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides 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. For more information, please visit https://www.pandadoc.com. The Team We're 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 you're excited about creating something from scratch and pushing the limits of intelligent automation, we’d love to talk. Our stack Service-oriented architecture but be prepared to deal with legacy code as well such as monolithic services based on the Django framework Python services are mostly written using AsyncIO frameworks and libraries, but we also have Django-based services with Celery workers under the hood Amazon Web Services and K8S are used extensively for provisioning and deploying workloads The main cross-service communication transports are NATS, gRPC, Kafka, and RabbitMQ Prometheus/Grafana stack for monitoring and alerting You'll be a perfect fit for our team if you have At least 5+ years of development experience with Python Experience with the AsyncIO and Django frameworks Hands-on experience in developing microservice-based architectures Solid proficiency in working with relational databases (SQL queries, migrations, optimization) Working knowledge of message queues (e.g., RabbitMQ, NATS, Kafka) Experience working with LLMs, AI/ML systems, or AI-powered products Familiarity with agent frameworks (e.g: LangChain, LlamaIndex, or similar) Understanding of security best practices for AI systems (prompt injection prevention, data privacy, etc.) Practical skills in writing units and end-to-end tests Commitment to high-quality code and best engineering practices. Empathy for end users and a focus on creating great product experiences Ability to explain complex technical concepts to product managers, designers, customer support, and other engineers Proficiency in English, both written and spoken Benefits Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon. 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. Work schedule aligned with EU time zones. Honest, open culture that values constructive feedback. Professional and personal development within a collaborative, supportive team. Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges. Company Culture We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team. Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Our attainment of awards such as Best Workplace, Best StartUp Employer and a Stevie Award for Best Employers demonstrate our commitment to our culture. Check out LinkedIn to learn more. 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. EXTERNAL RECRUITERS Approval Requirement The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

Responsibilities

As a Back-End Engineer, you will design and build systems for AI-powered document management. This includes integrating with the AI platform and ensuring scalability and reliability.