Senior Python Engineer

Summary

Join PandaDoc as a Sr. Python Engineer and build a powerful AI platform to drive innovation across all products. You will work on a modern AI platform, tackling real-world challenges with cutting-edge AI technology, including RAG pipelines, knowledge graphs, and LLM routing. This role offers high ownership and a fast-paced environment, focusing on building solutions that deliver real business value to customers. You will develop end-to-end systems, work with modern Gen-AI architecture, and collaborate with product and engineering teams. The ideal candidate possesses extensive Python experience, real-world AI application experience, and a deep understanding of LLMs.

Requirements

• Proficient in Python: 5+ years of experience coding in Python, building web systems, APIs, and scalable backend services
• Experience with real-world AI applications: You’ve worked on Gen-AI projects, including RAG, knowledge graphs, LLM routing, and fine-tuning. You understand the architecture and tools needed to make these systems work
• Deep knowledge of LLMs: You’ve worked with multiple LLM models and can explain their quirks, limitations, and how you’ve overcome them in past projects
• End-to-end development skills: You’ve developed systems from the ground up—from design and coding to deployment and testing
• Fast pace and high independence: You enjoy working in a fast-moving environment with lots of autonomy to solve problems and deliver results
• Product-focused mindset: You care about the impact of your work and strive to build systems that deliver tangible value to customers

Responsibilities

• Develop end-to-end systems: Design, build, and deploy web systems and APIs from scratch. Focus on building scalable, reliable solutions that integrate seamlessly with AI tools and workflows
• Work with modern Gen-AI architecture: Develop pipelines for RAG (retrieval-augmented generation), knowledge graphs, LLM routing, evaluation and testing frameworks, and fine-tuning models for specific use cases
• Optimize multi-model support: Work with multiple LLMs (like GPT-4, Claude, fine-tuned models) to ensure effective routing, dynamic task handling, and performance optimization
• Collaborate with product and engineering teams: Partner closely with technical PMs, designers, and other engineers to bring the platform to life and support innovation in AI products
• Solve real-world AI challenges: Apply your experience working with LLMs to navigate their quirks, troubleshoot issues, and build tools that ensure quality, scalability, and observability
• Move fast and iterate: Take ownership of your work, ship quickly, and learn from feedback to improve and optimize solutions

Benefits

• An honest, open culture that emphasizes feedback and promotes professional and personal development
• An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
• 6 self-care days
• A competitive salary