We’re building a powerful AI platform to drive innovation across all PandaDoc products, and we’re looking for a Sr. Python Engineer who’s passionate about solving real-world challenges with cutting-edge AI technology. This role is for someone who is excited about new emerging Gen AI technologies, thrives in a fast-paced environment, and cares deeply about building systems that deliver real impact to our customers.
What makes this role special?
- Work on a modern AI platform: Build a scalable platform that enables AI-first products at PandaDoc and gives other developers a head start without overcomplexity. Tackle challenges like RAG pipelines, knowledge graphs, LLM routing, fine-tuning, testing, and observability—making it easy for other engineers to integrate and build on top of the platform.
- Tackle real-world challenges: It’s easy to create an impressive demo, but much harder to productize Gen AI applications and make them work reliably for tens of thousands of customers. You will help productize the technology, ensuring it works seamlessly and reliably across all our customers.
- High ownership, fast pace: You’ll have the independence to take projects from 0 to deployment, solving complex problems and delivering results quickly.
- Focus on the end product: Go beyond technical challenges—you’ll build solutions that drive real business value and help small and medium-sized businesses thrive.
What will you do?
- Develop end-to-end systems: Design, build, and deploy web systems and APIs from scratch. You’ll 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.
What are we looking for?
- 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.
Why PandaDoc?
At PandaDoc, we’re empowering SMBs to succeed by providing innovative tools that simplify their workflows. With over 50,000 companies trusting PandaDoc, we’re now doubling down on AI to help SMBs compete and thrive in a changing world.
This role offers the chance to work on cutting-edge AI projects, build systems from scratch, and make a meaningful impact at a company that values creativity, autonomy, and collaboration. If you’re excited about solving real-world challenges and building tools that matter, let’s talk!
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.
Check out our LinkedIn to learn more.
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
- And much 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
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What We Do
Since its founding in 2013, PandaDoc has been on a mission to empower growing businesses to thrive by taking the work out of document workflows. PandaDoc provides an all-in-one document workflow automation platform with eSignature capabilities that helps fast scaling teams accelerate the ability to create, manage and sign digital documents, including proposals, quotes and contracts and more. More than 30,000 customers are using PandaDoc to improve document workflow, insights and speed while providing an amazing experience for the end users. PandaDoc is backed by leading venture firms and corporate investors, including OMERS Growth Equity, G-Squared, Altos Ventures, Rembrandt Venture Partners, One Peak Partners, M12 (Microsoft), and HubSpot. PandaDoc is proudly a remote-first global company.
Why Work With Us
Maintaining and preserving our company culture is imperative as we continue to grow, especially as a remote-first company. Our culture is centered on hiring the best and empowering them to do their jobs - provide employees the right technology to succeed, encourage risk taking, and foster an environment built on transparency, trust and empathy.
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