Senior AI Engineer | TS/Vue/NodeJS
Build and ship AI-powered capabilities that improve workflow creation, including code generation, intelligent node creation, and workflow optimization. The role requires 5+ years building web products, strong TypeScript and Node.js skills, and production experience with LLM APIs and AI systems.
About the job
Responsibilities
- Architect and implement AI-powered capabilities, including code generation, intelligent node creation, and workflow optimization.
- Integrate LLM APIs and embedding models for text-to-workflow experiences and natural-language code suggestions.
- Design and iterate on prompts to improve model output and user experience.
- Build internal tooling, evaluation benchmarks, and automated testing for AI components.
- Collaborate with engineering, product, and design to deliver reliable, performant, scalable AI features.
- Improve existing AI integrations and develop new integrations that enhance the core user experience.
- Balance experimentation with impact by shipping quickly while focusing on user value.
- Stay current with advances in LLMs, prompt frameworks, and developer tools.
Requirements
- 5+ years of experience building web-based products, ideally in B2B SaaS startups.
- Strong full-stack development skills with TypeScript, Node.js, and API design.
- Experience shipping AI-powered features in production with LLM APIs such as OpenAI and Anthropic.
- Understanding of AI fundamentals, including agent architectures, chat-completion roles, embedding vectors, vector databases, and chunking strategies.
- Hands-on experience with prompt engineering, embedding models, and vector stores.
- User-focused mindset and experience delivering features that solve real problems.
- Bias for shipping and fast iteration.
Nice-to-haves
- Experience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systems.
- Frontend experience with Vue or React.
- Technical writing or documentation contributions, especially for developer tools or AI.
- Experience with agent orchestration patterns and state management in multi-step AI systems.
- Experience with code-quality evaluation metrics and context-optimization techniques.
Compensation and benefits
- Competitive compensation.
- Equity ownership.
- Europe: 30 days of vacation plus public holidays.
- Benefits according to local country norms in Europe.
- €1,000 per year for courses, books, events, or coaching.
- Remote-first work across Europe with regular off-sites.
- $100 per month to support open-source projects.
- Visa sponsorship is available for Germany; candidates in other countries must already have the right to work.
Skills
TypeScript, Vue, Node.js, JavaScript, React, LLM APIs, OpenAI, Anthropic, Prompt Engineering, Embedding Models, Vector Databases, RAG, Agent Architectures, API Design, Automated Testing
Similar jobs
ML Engineering jobs
OPSWAT
Budapest, Hungary
Senior machine learning engineer owning cybersecurity detection capabilities end to end, from data pipelines and experimentation through production deployment and monitoring. Requires 3+ years of applied ML experience, strong Python and deep-learning skills, and demonstrated model delivery in customer-facing systems.
Datadog
Bordeaux, FranceBuild and operate AI-powered, customer-facing workflows for Datadog Notebooks, combining reliable backend systems with LLM capabilities. The role requires 6+ years of engineering experience, Go or Python expertise, and experience delivering production AI products.
Together AI
Amsterdam, Netherlands
Build production AI agents and the distributed platform that operates large-scale GPU infrastructure. The role requires 5+ years of backend, distributed systems, or infrastructure experience, with expertise in agent systems, knowledge graphs, retrieval, or semantic search.
MongoDB
Cork, IrelandResearch, prototype, and ship statistical and machine learning features that improve MongoDB’s fleet stability, release safety, resource efficiency, and operational automation. The role requires 5+ years of hands-on ML development, strong Python and systems-design skills, and a master’s degree or equivalent quantitative experience.
Build and deploy embedding, sequence, and language-model representations for Reddit Ads, taking ML projects from requirements and experimentation through production. The role requires 5+ years of end-to-end industry ML experience, with expertise in NLP or computer vision and deep-learning frameworks.