Senior Python Engineer – AI Agents

3 days ago

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PandaDoc

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SaaS • B2B • Productivity

PandaDoc is a comprehensive document management solution that helps businesses streamline their document workflows. It offers a range of features including custom agreement generation, eSignatures, CPQ (configure, price, quote) capabilities, and real-time collaboration tools. PandaDoc is designed for ease of use, enabling teams to automate document creation and management processes, thus improving efficiency and reducing errors. The platform integrates with popular CRM systems, payment gateways, and other tools to facilitate seamless business operations. Focused on security and compliance, PandaDoc supports legal and secure electronic transactions, making it ideal for businesses looking to optimize their agreement management processes.

501 - 1000 employees

Founded 2011

☁️ SaaS

🤝 B2B

⚡ Productivity

💰 Series C on 2021-09

📋 Description

• 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.

🎯 Requirements

• 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.