Applied AI Engineer developing LLM-powered features for leading AI startup. Collaborating on product-focused initiatives in public affairs space with strong growth ambitions.
Responsibilities
Take end-to-end ownership of LLM agent features and AI workflows
Design, build, and ship new AI-driven features from concept to production
Improve output quality, reliability, and usability through iteration and refinement
Collaborate closely with product, design, our customers, and commercial teams to define and evolve workflows
Integrate AI-driven features into the broader product experience
Balance development speed with robustness, maintainability, and cost considerations
Identify limitations and edge cases in AI outputs and implement practical mitigations
Stay informed on developments in LLM technology and assess when they are relevant for the product
Requirements
Experience building and shipping LLM-powered features in production
Experience with Typescript, Next.js, GCP and Kubernetes
Strong understanding of current LLM capabilities and limitations
Product mindset and focus on user value, not just technical novelty
Comfort with ownership, ambiguity, and evolving requirements
Ability to collaborate closely with non-technical stakeholders
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