2 месяца назад
Senior or Staff Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior or Staff Software Engineer (AI): Building customer-facing AI-powered product features, intelligent workflows, natural language interfaces, and agent-driven experiences with an accent on backend systems, prompt engineering, model behaviour, and evaluation pipelines. Focus on designing scalable agent platforms, shaping practical AI systems in production, and balancing product experience, reliability, and maintainability.
Location: Hybrid in London, United Kingdom, or Zagreb, Croatia
Company
builds product capabilities that solve real customer problems through scalable software and AI-powered experiences.
What you will do
- Build customer-facing AI-powered product features that are native, fast, and intuitive.
- Partner with product and design to prototype and iterate on intelligent workflows and user interactions.
- Design backend services for natural language interfaces, smart suggestions, and agentic systems.
- Optimize prompts, shape model behaviour, and improve model evaluation pipelines.
- Build and evolve internal and external agent platforms.
- Experiment, iterate, and improve AI systems running in production.
Requirements
- 5+ years of experience building customer-facing products at a high-quality software company.
- Strong track record delivering complex, end-to-end product features with visible impact.
- Deep understanding of LLMs, prompt engineering, agent frameworks, AI safety and security practices, RAG architectures, and model evaluation.
- Strong product and engineering judgment, with the ability to balance speed, quality, and pragmatism.
- Ability to independently shape problems, drive solutions, and operate in ambiguous environments.
- Experience with backend or platform technologies such as Node, Go, GCP, Kubernetes, Terraform, and Postgres is relevant; hiring is not limited to specific tools.
Culture & Benefits
- Small, high-trust teams with end-to-end ownership from design through production.
- Focus on simplicity, quality, collaboration, and rapid iteration.
- Hands-on work across engineering, product, and design.
- Opportunity to help define how AI is applied across products and workflows.
- Inclusive environment that supports candidates who may not yet have every listed qualification.
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