Senior AI Engineer

Навыки

• AI-агенты
• Cloudflare
• Решения на данных
• Дообучение моделей
• JSON
• LLM
• Mixpanel

О компании и продукте

• 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/
• At Ruby Labs we are looking for a Senior AI Engineer to own and drive the quality, reliability, and evolution of our AI systems in production.
• This is a high-ownership role. You will be responsible for end-to-end delivery of major AI features, production stability of AI systems, and data-driven experimentation using tools like Langfuse, Mixpanel and OpenRouter. You’ll work in a modern stack built on Next.js, TypeScript, Node.js, and Redis, collaborating closely with product, growth, data, and billing teams. Increasingly, this includes building agentic, tool-using AI systems — defining clean tool contracts (including MCP-based tools) and orchestrating how AI interacts with internal services and business systems.
• Our engineering organization uses a squad-based structure. You will operate within an AI engineering squad, contributing as a senior technical voice and driving engineering quality within your area of the product.

Задачи

• AI Systems Ownership & Feature Delivery
• 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 / 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
• Prompt Engineering & Experimentation
• 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 to root-cause hallucinations and logic errors
• Code Quality & Production Reliability
• Write clean, scalable, and maintainable TypeScript code across the Next.js / Node.js stack
• Build reliable backend logic for AI systems, with strong error handling, request validation, fallback flows, and predictable behavior 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

Требования

• 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 delivery

Будет плюсом

• Experience with AI-centered development tools such as Cursor, Claude Code, Windsurf, or similar platforms
• Familiarity with evaluation frameworks, including LLM-as-a-judge, RAGAS, or similar approaches
• Experience working in high-pressure startup environments with rapid product iteration cycles
• Experience with MCP (Model Context Protocol), including building MCP servers/clients or designing tool contracts for AI agents
• Experience with edge and serverless runtimes, such as Cloudflare Workers, and supporting services including KV, Durable Objects, Queues, R2, and D1
• Experience with payments, billing and checkout flows, or orchestration platforms
• Practical experience fine-tuning models for domain-specific tasks or achieving strict JSON/schema compliance
• Working proficiency in Python for data science, evaluation scripts, or AI tooling
• LOCATION
• Ruby Labs operates within the CET (Central European Time) zone
• This ensures optimal collaboration and communication during working hours

Условия

• Discover the perks of being part of our vibrant team!
• Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance
• Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days
• Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge
• Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them
• Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities
• Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere
• Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Как проходит отбор

• After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received
• If we see a potential fit, we proceed with the following steps
• Recruiter Screening (40 minutes)
• Technical Interview (60 minutes)
• Final Interview (30 minutes)
• LIFE AT RUBY LABS
• At Ruby Labs, we move fast, aim high, and expect the same from our team
• We’re not here to play small—we’re here to build, grow, and win
• That means we look for people who are ambitious, driven, and ready to give their best every single day
• This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle
• If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen
• Here, effort is matched with reward
• We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success

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