Junior Python Django Developer Jobs in Seattle, WA

Aircall has acquired Piper AI, and together we're building the future of autonomous sales.

Aircall powers the customer conversations that drive revenue for 23,000+ businesses—but deals don't close on a single conversation. They move, or stall, across calls, emails, video, and more, most of which is invisible at the pipeline level. Piper changes that. Every interaction, wherever it happens, automatically updates the CRM, scores the deal, and triggers the next step. No manual entry. No blind spots. No deals slipping through.
To build on this foundation, Aircall is launching a dedicated New Product Unit bringing together Aircall and Piper AI to accelerate the vision: an AI Orchestration Layer that captures and understands every customer interaction—calls, video, email, WhatsApp—and autonomously executes the workflows that follow: CRM updates, follow-ups, task creation, and coaching insights. The long-term goal is a self-improving, agentic Sales OS, where specialized AI agents collaborate, coordinate, and continuously optimize the entire revenue process.

We’re looking for a strong Senior Python Engineer who’s eager to go beyond traditional backend development.

This role is for someone ambitious—someone who takes pride in building things well, but knows how to move fast in a startup environment. You strike the right balance between clean architecture and pragmatism, between perfection and progress.

You’re energized by hard technical problems—distributed systems, AI orchestration, architectural trade-offs, performance, and scalability. You can go deep when needed, but you’re equally focused on shipping, learning, and iterating quickly.

You’re curious by nature, committed to continuous improvement, and excited to bring the most effective modern approaches—whether agentic patterns or AI-augmented development workflows—into real-world production.

This isn’t just another engineering role. It’s an opportunity to help build the intelligence layer behind a next-generation autonomous Sales OS.

Read more about the acquisition here: https://lnkd.in/erGae-3a
Learn more about Piper AI here: https://www.piperai.com/

• Design and implement production-grade Python services with clean architecture and strong engineering discipline. 
• Architect scalable, distributed systems using Domain-Driven Design (DDD) principles. 
• Integrate with external SaaS systems (CRMs, dialers, meeting tools, OAuth providers). 
  • Optimize performance, latency, cost, and reliability of AI-driven systems. 
• Build and orchestrate LLM-powered agents (planning, reasoning, tool usage, memory). 
• Develop internal frameworks to manage: 
  • Agent coordination 
  • Tool execution 
  • Memory layers 
  • Event-driven workflows 
• Work closely with AI engineers, product, and founders to transform complex sales workflows into autonomous processes. 
• Use AI coding assistants effectively and experiment with AI-augmented development workflows. 

• 7+ years of strong backend engineering experience. 
• [REQUIRED] Advanced Python expertise (including async programming, type hints, architecture patterns, and testing), with a minimum of 1 year of recent professional experience
• [REQUIRED] Experience developing APIs in Python (e.g., Flask, Django, or FastAPI)
• Experience designing scalable distributed systems. 
• You design thoughtful, well-architected systems and write clean, high-quality code, with a focus on performance and long-term maintainability.
• Experience with GCP (preferred) or AWS. 
• Mindset: You’re energized by building systems that can reason and take action—not just generate responses.
• You actively leverage AI coding assistants and are driven to push the boundaries of AI-augmented engineering.
• You thrive in fast-paced startup environments where ownership is real and impact is immediate.
• Strong communication skills are essential—you’ll collaborate closely with Product, Design, and Business stakeholders, and stay deeply connected to our users and the problems they’re trying to solve.
• Fluency in English is required; Spanish is a plus.

• Backend: Python, FastAPI, Celery, PostgreSQL, uv (package-manager) 
• Frontend: NextJS, Tailwind 
• DevOps: Google Cloud, Kubernetes 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.