Remote job
Remote confirmedSenior AI Engineer
Ruby Labs
Key points from the posting
- Tech stack
- Node.jsTypeScriptNext.jsPostgresCloudflare WorkersPlaywrightBrowserbaseLangfuseRAGASZodHatchetSupabase
- Seniority:
- Senior
- Benefits
- Remote work environment
- Unlimited paid time off
- Paid national holidays
- Company-provided MacBook
Automatically extracted
Our assessment
- Our reading of the full posting text confirms it: fully remote.
- The posting states no salary. Comparable roles in our index (102 postings): median 5,834 euros per month, middle range 4,650 to 6,875 euros.
- 24 more open roles from this employer in our index. 24 of them fully remote.
Automated assessment by nomado24, not an employer statement.
Job description
ABOUT US
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/
ABOUT THE ROLE
We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products. You will be fully responsible for production LLM features and the browser automation built around them end to end — prompt systems, structured outputs, evaluation, observability, and model selection — from first experiment to live release, with quality, reliability, and cost as your accountability.
This is a high-impact role suited for someone who decides with data, not intuition. Unmeasured prompt changes, untraced failures, and model swaps without benchmarks are not acceptable. You work in a modern TypeScript stack — Next.js, Cloudflare Workers and Containers with Hono, Hatchet task queues, Drizzle on Supabase Postgres, Vercel Blob. Browser automation on Browserbase and Playwright is roughly half of the job.
KEY RESPONSIBILITIES
PROMPT SYSTEMS & STRUCTURED OUTPUTS
- Design dynamic prompt templates with conditional logic and context injection that maximise generation quality
- Enforce predictable outputs with JSON mode, function calling, Zod/JSON schemas, validators, and repair loops
- Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic
BROWSER AUTOMATION
- Build and maintain browser automation on Browserbase Functions and Playwright that traverses web flows reliably
- Classify screens with a model inside each traversal, and decide what the model handles versus deterministic code
- Ship automations as frozen, published workers — versioned, reproducible, and safe to roll back
- Orchestrate runs through Hatchet with retries, timeouts, and failure traces that explain every broken run
EVALUATION & EXPERIMENTATION
- Build evaluation pipelines — test datasets, LLM-as-a-judge, RAGAS-style metrics — and score responses and screen classifications in Langfuse
- Trace complex LLM chains to find bottlenecks in cost, latency, and context-window usage
- Run A/B experiments across models and prompts through an AI gateway (OpenRouter, Cloudflare AI Gateway); release only on quantitative benchmarks
- Re-evaluate models as new architectures emerge; fine-tune when domain requirements demand it
PRODUCTION OWNERSHIP
- Take AI features from experiment to live production on Cloudflare Workers and Containers, and stay accountable after release
- Manage rate limits, fallbacks, and model cost so features stay reliable at scale
- Resolve production incidents in owned AI and automation systems with documented root-cause analysis
QUALIFICATIONS
MUST-HAVE EXPERIENCE
- 【5+】 years of software engineering with Node.js, TypeScript, Next.js, and Postgres, including edge or serverless runtimes such as Cloudflare Workers
- Production browser automation with Playwright (Browserbase or similar): resilient selectors, retries, failure handling at scale
- Production experience with dynamic prompting — content that depends on input variables and injected context
- Structured outputs in production: JSON mode, function calling, Zod/JSON schemas
- Experience with unified LLM APIs or AI gateways (OpenRouter, Cloudflare AI Gateway): rate limits, fallbacks, cost-effective model selection
- LLM observability with Langfuse or similar: tracing, test datasets, scoring integration
- Evaluation methodology: RAGAS or custom LLM-as-a-judge systems
LEADERSHIP ATTRIBUTES
- Decides on benchmarks and trace data, not intuition
- Analytical — converts generation logs into metrics a business can act on
- Iterative — builds feedback loops and improves continuously
- Owns the outcome from experiment to production, and after
- Verifies before trusting — treats LLM output as unproven until validated
LOCATION
Ruby 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.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- 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 …
This role is provided by an external source. Applications are handled on the source website.
