Senior Golang Backend Engineer (AI/LLM)

Responsibilities:

• Design, build, and run scalable, low-latency backend services powering AI products
• Lead development of voice-enabled AI applications and LLM-backed features
• Apply advanced prompt engineering; manage context windows; ensure consistent model outputs
• Implement model integration patterns (connecting external/internal services, tools, and agents)
• Define and uphold observability for AI workloads (latency, cost, token usage, reliability)
• Collaborate with ML/Data Science to productionize prototypes into high-availability services
• Contribute to code reviews, architecture decisions, and technical strategy

Requirements:

• Proven hands-on experience with Golang as the primary backend language in production environments
• Experience with cloud-native and containerized environments, including Kubernetes, Docker, and Infrastructure as Code (Terraform)
• Proven hands-on experience with integrating AI/ML and LLM models into production backend systems
• Knowledge of LLM fundamentals, including prompt engineering, context-window management, RAG, and model orchestration
• Experience with building backends for agentic workflows and long-running conversational states
• Proven hands-on experience with MCP (Model Context Protocol), including developing and managing MCP servers
• Familiarity with Agent-to-Agent (A2A) communication patterns and multi-agent system design
• Experience with observability for AI-driven applications, including latency, cost, and token-usage metrics, with an SLO-oriented engineering mindset
• Very good command of English, both spoken and written

Nice to have:

• Experience with Java or Kotlin in polyglot backend environments
• Experience with MongoDB or similar NoSQL databases
• Familiarity with LLM toolchains, function calling mechanisms, and retrieval pipelines
• Experience with voice-enabled AI applications, including low-latency streaming solutions
• Experience with system- and UI-level test automation (e.g., Playwright)
• Exposure to modern frontend stacks such as React and TypeScript to support end-to-end collaboration

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program