# Senior AI Engineer

Remote from[Europe](https://jobicy.com/job-region/europe.md)Annual salary Undisclosed Salary information is not provided for this position.
Check our [Salary Directory](https://jobicy.com/salaries.md) to estimate the average compensation for similar roles.Department  [Software Engineering](https://jobicy.com/categories/engineering.md) Employment type Full Time, Job posted7 Jul 2026Apply before7 Aug 2026Experience level  Senior
Views / Applies 40 / 2 [About company](https://jobicy.com/company/ruby-labs.md)

* Share About [Ruby Labs](https://jobicy.com/company/ruby-labs.md)

Crafting Consumer Products of Tomorrow

[Information Technology & Services](https://jobicy.com/company-category/information-technology-services.md)
*  2018

Actively Hiring  Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance.

###  AI Summary

Ruby Labs is seeking a Senior AI Engineer to take ownership of AI systems in production, driving quality, reliability, and evolution. The role involves end-to-end delivery of major AI features, production stability, and data-driven experimentation. You will work with a modern tech stack (Next.js, TypeScript, Node.js, Redis) and collaborate with cross-functional teams. The ideal candidate has 6+ years of software engineering experience and 2+ years building AI/LLM systems in production. This is a high-ownership role focused on agentic AI, tool integration, and orchestrating multi-step LLM workflows.

### Role DNA

Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative

AI Insight This role requires senior-level expertise with 6+ years of experience and deep knowledge of production AI systems, making it challenging but not the highest level as it expects prior proven skills.

### Salary Analysis

Median  Highly Competitive  $200,000US Market $150k – 250k 0 $275k      AI Insight The salary for this role is not specified, but based on market data for a Senior AI Engineer, the typical range is $150,000-$250,000 with a median around $200,000. This is competitive for the level of expertise required.

### Core Skills Required

[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md) [Node.js](https://jobicy.com/jobs?search_keywords=Nodejs.md) [Next.js](https://jobicy.com/jobs?search_keywords=Nextjs.md) [LLMs](https://jobicy.com/jobs?search_keywords=LLMs.md) [Agentic AI](https://jobicy.com/jobs?search_keywords=Agentic+AI.md) [Langfuse](https://jobicy.com/jobs?search_keywords=Langfuse.md) [OpenRouter](https://jobicy.com/jobs?search_keywords=OpenRouter.md) [Prompt Engineering](https://jobicy.com/jobs?search_keywords=Prompt+Engineering.md) [MCP](https://jobicy.com/jobs?search_keywords=MCP.md) [LangChain](https://jobicy.com/jobs?search_keywords=LangChain.md)

### Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Senior AI Engineer position at Ruby Labs. With over 6 years of software engineering experience and a strong track record of building production-grade AI systems, I am confident in my ability to drive the quality and evolution of your AI systems. My expertise in TypeScript, Node.js, and modern stacks like Next.js aligns perfectly with your tech environment.

I have extensive hands-on experience with LLM APIs, agentic AI, and multi-agent orchestration, which are central to this role. I thrive in high-ownership positions and have successfully delivered end-to-end AI features, implemented output-type-based systems, and optimized production performance.

I am particularly drawn to Ruby Labs' innovative consumer products and squad-based structure. I look forward to contributing as a senior technical voice and collaborating with cross-functional teams to build reliable, scalable AI solutions. Thank you for considering my application.

Sincerely,
[Your Name]

Copy

### Sample Interview Questions

Describe a time you had to debug a complex LLM chain. What tools did you use and how did you identify the root cause?I used Langfuse traces to pinpoint latency and output issues. By inspecting the traces, I found a bottleneck in context window usage. I optimized prompt compression and adjusted model selection, reducing cost and latency by 30%.How do you ensure consistent output structure across different LLMs for the same request?I define strict output schemas using Pydantic or Zod, and implement validation layers. I also use structured prompting with examples and enforce format constraints via function calling or output parsers.Explain your approach to building a multi-step agentic workflow with tool integration.I design clear tool contracts using MCP or function calling. The workflow is orchestrated with LangChain, handling state management and fallback logic. I test each step independently and add monitoring for execution traces.How do you manage prompt versions and evaluate their performance in production?I use Langfuse for prompt management and A/B testing. I track metrics like accuracy, latency, and user feedback. Changes are rolled out gradually with feature flags, and I revert if metrics degrade.Describe a situation where you had to optimize an AI system for cost and latency. What trade-offs did you make?We were using GPT-4 for all requests. After analysis, I implemented a model router that sends simple queries to a cheaper model (e.g., Claude Haiku) and complex ones to GPT-4. This reduced costs by 40% while maintaining quality. I also optimized caching strategies.

## 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/](https://rubylabs.com/about-us/)

## About the role

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.

## Key Responsibilities

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Take complete ownership and deliver major AI engineering features within agreed timelines.

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Own AI output quality, structure, and predictability across all user-facing AI interactions.

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Design, implement, and maintain output-type-based AI systems, including segmentation, routing, and enforcement.

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Ensure consistent output structure and formatting across different LLMs for the same request type.

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Integrate and orchestrate multiple LLM providers via OpenRouter, managing model selection, fallback strategies, and cost optimisations.

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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.

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Build and maintain complex, multi-step LLM workflows, including with orchestration frameworks such as LangChain or LlamaIndex, for advanced reasoning, context reuse, and retrieval.

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Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic.

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Own the deployment and release of LLM experiments, prompt management, and Langfuse-based evaluation pipelines.

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Run A/B tests across models, analyse results, and present data-driven impact assessments of AI features and experiments.

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Monitor AI system metrics, quality signals, latency, and release health using Langfuse and other observability tools.

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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.

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Write clean, scalable, and maintainable TypeScript code across the Next.js and Node.js stack.

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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.

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Ensure high code quality through testing, code reviews, and clear engineering standards.

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Monitor, troubleshoot, and improve production performance, reliability, and system health.

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Drive maintainability and technical quality through solid architecture, refactoring, and disciplined release practices.

## Qualifications

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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.

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2+ years of experience building AI/LLM systems in production. Less experience may be considered for exceptional candidates.

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Deep hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar) in production environments.

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Experience with Agentic AI, multi-agent orchestration, tool-based workflows (function calling/tool execution), and/or RAG pipelines, including indexing, retrieval, and re-ranking.

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Experience with LLM observability tools such as Langfuse, LangSmith, or similar platforms.

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Experience with AI gateways and model routing solutions, such as OpenRouter or equivalent technologies.

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Solid understanding of Redis and relational databases, such as PostgreSQL.

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Exceptional ownership mindset and personal responsibility for engineering quality and delivery.

## Nice to have

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Experience with AI-centered development tools such as Cursor, Claude Code, Windsurf, or similar platforms.

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Familiarity with evaluation frameworks, including LLM-as-a-judge, RAGAS, or similar approaches.

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Experience working in high-pressure startup environments with rapid product iteration cycles.

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Experience with MCP (Model Context Protocol), including building MCP servers/clients or designing tool contracts for AI agents.

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Experience with edge and serverless runtimes, such as Cloudflare Workers, and supporting services including KV, Durable Objects, Queues, R2, and D1.

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Experience with payments, billing and checkout flows, or orchestration platforms.

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Practical experience fine-tuning models for domain-specific tasks or achieving strict JSON/schema compliance.

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Working proficiency in Python for data science, evaluation scripts, or AI tooling.

## 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:

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Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.

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Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.

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Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.

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Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.

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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. Read more about it here: [https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0](https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt)

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

## Interview Process

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:

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Recruiter Screening (40 minutes)

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Technical Interview (60 minutes)

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Second Interview (30 minutes)

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Final Interview (20 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.

#LI-Remote

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[Apply now >](https://jobicy.com/jobs/148916-senior-ai-engineer.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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