Senior Python Engineer, ManyChat

• 5+ years of commercial Python development in production environments
• Strong expertise in modern Python frameworks (FastAPI preferred; Django/Flask acceptable)
• Solid experience designing and integrating APIs (including third-party services)
• Strong understanding of async programming and concurrency (AsyncIO, non-blocking I/O)
• Experience working with PostgreSQL and large datasets
• Experience building and maintaining high-load backend systems
• Strong testing practices (unit and integration tests; PyTest preferred)
• Experience with CI/CD pipelines and Docker
• Strong ownership and product mindset — able to align with stakeholders and connect engineering work to business impact

Desirable

• We’re hiring a Senior Python Engineer to help build Conversational AI inside Manychat — a production system that enables creators to manage high-volume Instagram conversations at scale
• This team is solving that problem by building AI-powered experiences that help creators respond faster, convert more leads, and focus on growing their business
• Your work will directly influence how conversations turn into measurable business outcomes
• This role is ideal for someone who thrives in high-load, real-world backend environments and enjoys tackling the practical challenges of production AI: reliability, latency, observability, quality control, and safe behavior at scale. You take ownership, think in systems to turn ambiguity into shipped, impactful solutions
• We collaborate closely with AI Experts, Product Managers, Designers — contributing to architecture, delivery, and reliability decisions that drive speed, stability, and impact
• Design, build, and scale AI-powered backend services embedded directly into the Manychat platform
• Architect scalable, async Python services operating in high-load, production environments
• Integrate LLM providers (OpenAI, Azure-hosted models, etc.) with a strong focus on reliability, latency, and cost-efficiency
• Design and maintain internal and external APIs, ensuring scalability and resilience
• Own features end-to-end — from discovery and technical design through production deployment, monitoring, and iteration
• Make architectural decisions that balance speed, scalability, and long-term maintainability
• Ensure production reliability through strong observability practices (monitoring, logging, alerting)
• Implement and maintain high-quality unit and integration test coverage
• Contribute to CI/CD pipelines and continuously improve release processes
• Collaborate cross-functionally with Product, Design, AI experts, and Platform teams in a Scrum environment
• Connect engineering decisions to measurable product and business impact