AI/LLM Engineer at CLERA
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

29 Dec, 26

Salary

50000.0

Posted On

30 Sep, 26

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services;IT Consulting & System Integration

Description

What You'll Do


  • Design, build, and deploy AI agents end-to-end across the full stack.
  • Work with embeddings and fine-tune LLMs for classification and reranking tasks.
  • Optimize algorithms to improve product search quality and relevance.
  • Apply RLHF and DPO techniques to align LLMs with human feedback.
  • Build and maintain data pipelines to process large-scale unstructured data efficiently.
  • Harden and scale the backend for reliability and performance.

What We're Looking For


  • 2+ years of engineering experience, with a strong AI/LLM or backend-oriented focus rather than a primarily frontend profile.
  • Solid hands-on experience with NLP, LLMs, embeddings, and AI-powered applications.
  • Demonstrated ability to build and scale data and ML pipelines, including large-scale unstructured data.
  • Practical experience applying RLHF or DPO to align language models with human feedback.
  • Full-stack development skills using React, TypeScript, and Next.js.
  • Familiarity with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).
  • Strong computer science fundamentals.


Responsibilities

What You'll Do


  • Design, build, and deploy AI agents end-to-end across the full stack.
  • Work with embeddings and fine-tune LLMs for classification and reranking tasks.
  • Optimize algorithms to improve product search quality and relevance.
  • Apply RLHF and DPO techniques to align LLMs with human feedback.
  • Build and maintain data pipelines to process large-scale unstructured data efficiently.
  • Harden and scale the backend for reliability and performance.

What We're Looking For


  • 2+ years of engineering experience, with a strong AI/LLM or backend-oriented focus rather than a primarily frontend profile.
  • Solid hands-on experience with NLP, LLMs, embeddings, and AI-powered applications.
  • Demonstrated ability to build and scale data and ML pipelines, including large-scale unstructured data.
  • Practical experience applying RLHF or DPO to align language models with human feedback.
  • Full-stack development skills using React, TypeScript, and Next.js.
  • Familiarity with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).
  • Strong computer science fundamentals.


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