Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- 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
- Enjoyment of fast-paced startup environments
Benefits
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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