Distillery · 2 days ago
Back-end and AI Engineer
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Responsibilities
Develop custom agentic flows to solve a variety of tasks related to our approach to job search and application.
Develop prototypes to quickly test new ideas and concepts.
Contribute to our MLOps processes and strategy.
Contribute to the wider development process and to knowledge sharing.
Research new approaches and technologies.
Qualification
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Required
You’re a seasoned backend engineer with at least 2 years of experience in AI and data-intensive applications.
You are a strong believer in the power of LLMs and know how to deal with their latency, variance, etc.
You are familiar with defensive programming practices.
You can code asynchronous applications, manage synchronization.
You speak Python fluently and know JavaScript. Other languages (in particular Java and Go) are an asset.
You are confident with agentic flows (LangChain, etc.).
You know how to scale applications.
You know your way in Kubernetes and Docker sorcery.
You can deal with queues, message buses, and event-driven architectures.
You have a solid understanding of CI tools (we use GitLab).
You are able to evaluate the performance of an LLM.
You have experience in building scalable solutions.
You have a solid understanding of core ML concepts.
You have no fear in linking your logic to UIs with some great front-end coding.
You can work both autonomously and in small task-oriented teams.
You are accountable, goal-driven and know how to manage your own time.
You have excellent communication skills in English and a good, positive attitude towards others: we work remotely, so this is essential.
Preferred
You are familiar with AWS.
You have experience working in an Agile Scrum environment.
You have a Masters or a PhD degree in a relevant field.
Benefits
Generous vacation package
Competitive benefits plan