Senior Software Engineer | Fullstack (AI Customer Support and Safety)

Location: Kazakhstan; hybrid workplace

Company

Building fair choices and services for millions of people across 47 countries.

What you will do

• Design, build, deliver, monitor, and operate backend services in Go and Python, including on-call ownership.
• Build and evolve production services for LLM-based agents with tool calling, MCP integrations, structured output, conversation state, and code-based guardrails.
• Build internal web applications in React and TypeScript, including admin pages, complex interactive interfaces, forms, editors, and data visualisation.
• Design data models and APIs for configuration-heavy products, focusing on consistency, history, and safe changes.
• Integrate services through HTTP, gRPC, GraphQL, and Kafka, and build end-to-end observability with metrics, logs, dashboards, tracing, alerting, and runbooks.
• Drive technical research and design, participate in code and design reviews, mentor engineers, and maintain the same review standard for AI-generated changes as for human-written changes.

Requirements

• 5+ years of commercial software engineering experience, including production work on both backend and frontend and production coding without coding agents.
• Strong Go experience, including advanced features used in production.
• Strong Python for service development, including async programming, typing, testing, and a modern web framework such as FastAPI.
• Hands-on experience building and running AI agents in production.
• Strong TypeScript and React experience with non-trivial web applications, including complex forms, editors, and data visualisation.
• Strong SQL skills covering schema design, indexes, query optimisation, and migrations; experience with Redis or similar key-value stores.
• Experience with synchronous and asynchronous service communication using HTTP, gRPC, GraphQL, and Kafka, with a focus on reliability.
• Experience with Docker, CI/CD pipelines, Kubernetes, and AWS or GCP core services covering compute, storage, networking, and IAM.
• Experience designing and running observability using metrics, logging, dashboards, and tracing tools such as Prometheus, Grafana, or OpenTelemetry; familiarity with Git workflows, code review, Linux command line, and networking basics.
• Ability to explain technical trade-offs clearly to data scientists, product owners, and on-call engineers, plus experience using AI coding agents with full review of generated changes.

Culture & Benefits

• Mentoring, career consulting, learning programs, co-financed language courses, and internal speaking clubs.
• International collaboration and access to the Global Talent Exchange Program.
• Company-wide challenges, awards, sports activities, employee-led social impact, and volunteering projects.
• Open, initiative-driven environment focused on growth and challenging injustice.
• Final benefits may vary depending on location.