Full Stack Engineer

Backend Software Engineer

Location

Global options available; optional office access in London, New York, San Francisco, or Warsaw

Salary

Competitive / Market Rate

Job Type

Full-Time / Remote (Global remote flexibility with optional office-based work)

Overview

A Backend Software Engineer is required to expand platform functionality and scale core infrastructure supporting high-volume AI voice and audio products. This role focuses on building scalable backend services, optimizing production platform reliability, and integrating generative AI research models into consumer and enterprise applications. Working within autonomous, high-velocity engineering teams, the position involves designing robust APIs, strengthening cloud infrastructure, and partnering across frontend, product, and operations disciplines to deliver performant software solutions.

Key Responsibilities

• Build, scale, and maintain core platform infrastructure supporting web and enterprise services utilized by global user bases.
• Enhance existing software products to incorporate breakthroughs in generative AI research, building new backend features and third-party integrations.
• Maintain and strengthen internal cloud infrastructure to preserve high availability, low latency, system performance, and application security.
• Collaborate with cross-functional engineering, product, and go-to-market teams to architect technical solutions for complex client needs.
• Apply modern system design patterns, write clean and maintainable Python code, and establish robust testing and deployment mechanisms.
• Leverage AI productivity tools to accelerate software engineering and operational workflows.

Requirements

Basic Qualifications:

• Senior-level engineering background demonstrating technical problem-solving capabilities (proven via past open-source contributions, technical projects, or production systems).
• Advanced engineering expertise in Python.
• Strong professional background in backend software engineering and system design.
• Solid working knowledge of system architecture, RESTful/GraphQL APIs, cloud infrastructure, data structures, and storage engines.
• Demonstrated understanding of software testing principles, security fundamentals, and distributed systems.

Preferred Qualifications:

• Practical experience managing containerized workloads using Kubernetes.
• Hands-on experience integrating payment processing gateways (e.g., Stripe).
• Foundational knowledge of artificial intelligence and machine learning model operations.

Benefits

• Competitive salary and equity compensation package.
• Annual discretionary professional learning and development stipend.
• Annual discretionary social travel stipend to meet up with team members globally.
• Fully sponsored annual company offsite event in international destinations.
• Monthly co-working space allowance for remote employees.
• High-autonomy work environment with global remote flexibility.