{"id":4241206,"url":"https://alion.io/job/ruby-labs-ai-engineer","title":"AI Engineer","company":{"id":6377,"name":"Ruby Labs","domain":"rubylabs.com","url":"https://alion.io/company/rubylabs","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":8,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"CET","utc_offset_min":1,"utc_offset_max":1},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["KZ","ME","RS","UA","AL","GE","MD"],"hiring_countries_total":7,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Claude Code","optional":false},{"name":"Cloudflare","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Langfuse","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenRouter","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Ruby","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Browser Agents","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"pgvector","optional":true},{"name":"Playwright","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-13T09:23:15Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:11:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About us\nRuby 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/\nAbout the role\nAt Ruby Labs we are looking for an AI Engineer (Strong Middle / Senior level) to own and drive the quality, reliability and evolution of our AI systems in production.\nThis is a high-ownership role. You will be responsible for end-to-end delivery of AI features, production stability of AI systems, and data-driven experimentation using tools like Langfuse and Cloudflare AI gateway for model routing. Increasingly, this includes agentic, tool-using AI systems: defining clean tool contracts (including MCP-based tools) and orchestrating how AI interacts with internal services, search and background pipelines.\nThe stack is TypeScript end to end: Node.js and Hono services on Cloudflare Workers with Durable Objects and Containers, PostgreSQL, OpenSearch. Models from several providers run behind an AI gateway, with prompts, traces and evaluations in Langfuse.\nKey Responsibilities\nAI Systems Ownership & Feature Delivery\nTake ownership of major AI features and LLM workflows and deliver them to production within agreed timelines.\n\nOwn AI output quality, structure and predictability across user-facing AI interactions, with consistent structured output across different LLMs for the same request type.\n\nIntegrate and orchestrate multiple LLM providers through an AI gateway, managing model selection, fallback strategies and cost optimisation.\n\nDesign and orchestrate tool-using and agentic AI workflows: clean tool contracts (including MCP-based tools), function-calling interfaces and reliable AI-to-system integrations.\n\nBuild and maintain multi-step LLM workflows and RAG pipelines (indexing, embeddings, retrieval, re-ranking) for reasoning, context reuse and search.\n\nPrompt Engineering, Evaluation & Experimentation\nDesign and manage production prompt systems with dynamic prompting, context injection, and conditional logic.\n\nOwn prompt management, the release of LLM experiments and Langfuse-based evaluation pipelines: test datasets, LLM-as-a-judge, output scoring.\n\nRun A/B tests across models and prompts, analyse the results and present the data-driven impact of AI features and experiments.\n\nDeep-debug LLM chains using Langfuse traces: identify bottlenecks, optimise for cost, latency and context-window usage, and root-cause hallucinations and logic errors.\n\nCode Quality & Production Reliability\nWrite clean, scalable and maintainable TypeScript across the Node.js / Cloudflare Workers stack.\n\nBuild reliable backend logic for AI systems: request and output validation, error handling, fallback flows for malformed or low-quality model responses, and reliable tool execution.\n\nEnsure high code quality through tests (including validation and fallback paths for AI output), code reviews and clear engineering standards.\n\nMonitor AI system metrics, quality signals, latency and release health, and resolve production issues with a documented root cause.\n\nDocument prompt designs, model and routing choices, evaluation results and architectural decisions, so others can pick up the work.\n\nQualifications\n4+ years of backend/fullstack software engineering experience, with production-grade TypeScript/Node.js.\n\n1+ year of AI/LLM systems in production with real users, not only side projects or experiments.\n\nDaily use of AI-centred development tools (Claude Code, Cursor or similar).\n\nDeep hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini or similar) in production: structured output, function calling, streaming, token and cost control.\n\nExperience with agentic AI, multi-step orchestration, tool-based workflows (function calling / tool execution) or RAG pipelines (indexing, retrieval, re-ranking).\n\nExperience with LLM observability and evaluation tools (Langfuse, LangSmith or similar).\n\nExperience with AI gateways and model routing (OpenRouter, Cloudflare AI Gateway or equivalent).\n\nSolid understanding of relational databases (PostgreSQL) and caching (Redis, KV or similar).\n\nExceptional ownership and personal responsibility for engineering quality and delivery.\n\nNice to have\nEvaluation frameworks (LLM-as-a-judge, RAGAS) and building test datasets.\n\nMCP (Model Context Protocol): building MCP servers/clients or designing tool contracts for AI agents.\n\nEdge/serverless runtimes (Cloudflare Workers) and their services: KV, Durable Objects, Queues, R2, Containers.\n\nSearch engines and vector search (OpenSearch, Elasticsearch, pgvector), embeddings.\n\nBackground workflow engines (Hatchet, Temporal, Inngest) for high-volume LLM pipelines.\n\nBrowser automation and browser agents (Playwright, CDP, browser-use).\n\nPractical fine-tuning for domain-specific tasks or strict JSON/schema compliance.\n\nWorking Python for data science, evaluation scripts, or AI tooling.\n\nLocation\nRuby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.\nBenefits\nDiscover the perks of being part of our vibrant team! We offer:\nRemote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.\n\nUnlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.\n\nPaid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.\n\nCompany-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.\n\nFlexible 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. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt\n\nBe part of our fast-growing team and seize this excellent opportunity for personal and professional growth!\nInterview Process\nAfter 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:\nRecruiter Screening (40 minutes)\n\nTechnical Interview (90 minutes)\n\nFinal Interview (60 minutes)\n\nLife at Ruby Labs\nAt 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.\nThis 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.\nHere, effort is matched with reward. 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