Senior AI Engineer
New
Fully remote work environment with flexibility across Europe, including the United Kingdom.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Node.jsTypeScriptVue.JsReactPrompt EngineeringLLM
Requirements
- 5+ years of experience building and shipping web-based products, preferably within SaaS or high-growth technology environments.
- Strong full-stack development expertise using TypeScript, Node.js, RESTful APIs, and modern software architecture practices.
- Proven experience delivering AI-powered features in production using platforms such as OpenAI, Anthropic, or similar LLM providers.
- Solid understanding of AI and machine learning concepts, including agent architectures, embeddings, vector databases, retrieval strategies, and context management.
- Hands-on experience with prompt engineering, embedding models, vector stores, and AI workflow orchestration.
- Frontend development experience with Vue.js, React, or comparable frameworks.
- Strong problem-solving abilities with a practical, product-focused approach to applying AI technologies.
- Excellent communication and collaboration skills, with the ability to work effectively in distributed teams.
- Demonstrated ability to balance experimentation with execution and deliver high-impact solutions quickly.
- Experience with retrieval-augmented generation (RAG), LLM fine-tuning, multi-agent systems, or AI evaluation methodologies is highly desirable.
Responsibilities
- Design, develop, and deploy AI-powered product features, including workflow generation, intelligent automation recommendations, code generation, and workflow optimization capabilities.
- Build and integrate large language model (LLM) solutions using APIs, embedding models, vector databases, and natural language interfaces.
- Architect scalable backend services and APIs using TypeScript and Node.js while contributing to frontend experiences with modern JavaScript frameworks.
- Develop and refine prompt engineering strategies to improve model accuracy, usability, and customer outcomes.
- Create internal evaluation frameworks, testing pipelines, and performance benchmarks for AI-powered systems.
- Collaborate closely with product managers, designers, and engineers to deliver user-centric AI solutions.
- Monitor, optimize, and enhance the reliability, scalability, and performance of AI integrations in production environments.
- Stay current with emerging developments in AI, agent frameworks, orchestration systems, and developer tooling, applying relevant innovations to product development.
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