Remote Backend Jobs

We're looking for a Senior Backend Engineer to help us build an internal AI agent platform. You'll be joining a very early-stage initiative to build an internal platform for an AI agent ecosystem. This is your chance to be a key player in shaping a transformative project from the ground up - one that will scale into a powerful platform impacting multiple areas of the business. You'll contribute to the foundation of a game-changing solution that integrates AI technologies to drive automation and innovation across the company. You'll work with cutting-edge technologies, including LLMs and agent frameworks, designing architectures at the intersection of large-scale services and AI, and helping integrate them deeply into core internal tools.

You'll work on high-impact projects in a high-growth environment, alongside a world-class remote engineering team spread across 20+ countries.

Key Responsibilities

• 5+ years of backend engineering experience, with at least 2 years working with Golang and 2 years working with Python
• Plus will be an experience with AI agent frameworks: Langchain, Langgraph, ADK
• Plus will be an experience in building or integrating LLM-based features and agent-centric architectures.
• Big plus will be an ML experience: learning and evaluation of models, implementation of them in production
• Experience building scalable, distributed systems and working with high-load architectures
• Solid understanding of backend tools and technologies - we use PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and a microservices architecture
• Experience developing internal instruments, automations, CRM and so on
• A passion for writing clean, testable, and maintainable code
• A proactive mindset and the ability to work independently
• Strong communication skills in English (B2 level or higher)

Skills, Knowledge & Expertise

• Development of backend for AI agent platform and microservices around it
• Participate in the architecture setup, in choosing technologies
• Stay up to date with updates and frameworks around AI agent technologies, study and experiment.
• Improve and optimize parts of the platform related to agent creation, quality evaluation, and performance under load.
• Work closely with platform clients, take feedback into account, and help build a user-friendly product.