O pozici
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
Co budeš dělat
- Take complete ownership and deliver major AI engineering features within agreed timelines.
- Own AI output quality, structure, and predictability across all user-facing AI interactions.
- Design, implement, and maintain output-type-based AI systems, including segmentation, routing, and enforcement.
- Ensure consistent output structure and formatting across different LLMs for the same request type.
- Integrate and orchestrate multiple LLM providers via OpenRouter, managing model selection, fallback strategies, and cost optimisations.
- Design and orchestrate tool-using and agentic AI workflows, defining clean tool contracts (including MCP-based tools), function-calling interfaces, and reliable AI-to-system integrations.
- Build and maintain complex, multi-step LLM workflows, including with orchestration frameworks such as LangChain or LlamaIndex, for advanced reasoning, context reuse, and retrieval.
- Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic.
- Own the deployment and release of LLM experiments, prompt management, and Langfuse-based evaluation pipelines.
- Run A/B tests across models, analyse results, and present data-driven impact assessments of AI features and experiments.
- Monitor AI system metrics, quality signals, latency, and release health using Langfuse and other observability tools.
- Deep-debug complex LLM chains using Langfuse traces, identifying bottlenecks and optimising for cost, latency, and context-window usage, and build output-scoring systems to root-cause hallucinations and logic errors.
- Write clean, scalable, and maintainable TypeScript code across the Next.js and Node.js stack.
- Build reliable backend logic for AI systems, with strong error handling, request validation, fallback flows, and predictable behaviour in production, including reliable tool execution and AI-to-service integrations.
- Ensure high code quality through testing, code reviews, and clear engineering standards.
- Monitor, troubleshoot, and improve production performance, reliability, and system health.
- Drive maintainability and technical quality through solid architecture, refactoring, and disciplined release practices.
Koho hledáme
- 6+ years of backend/full-stack software engineering experience, including production-grade TypeScript/Node.js. Experience with Next.js and/or Python is a plus.
- 2+ years of experience building AI/LLM systems in production. Less experience may be considered for exceptional candidates.
- Deep hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar) in production environments.
- Experience with Agentic AI, multi-agent orchestration, tool-based workflows (function calling/tool execution), and/or RAG pipelines, including indexing, retrieval, and re-ranking.
- Experience with LLM observability tools such as Langfuse, LangSmith, or similar platforms.
- Experience with AI gateways and model routing solutions, such as OpenRouter or equivalent technologies.
- Solid understanding of Redis and relational databases, such as PostgreSQL.
- Exceptional ownership mindset and personal responsibility for engineering quality and
Benefity
- Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere.
