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Salary
$93k – $151k per year
Location
In office (Munich)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

We are a Y Combinator-backed B2B SaaS startup building AI-powered sales automation for distributors and manufacturers. As an AI/LLM Engineer, you will design and ship end-to-end AI systems that directly power core product features, working across a small, high-velocity team that spans AI, data engineering, and full-stack development.

What You'll Do

  • Build, deploy, and optimize AI agents end-to-end across the full stack.

  • Work with embeddings and fine-tune LLMs for classification and reranking tasks.

  • Design and optimize algorithms for product search.

  • Apply RLHF and DPO techniques to align LLMs with human feedback.

  • Build scalable data pipelines to process large volumes of unstructured data.

  • Improve the scalability, stability, and efficiency of the backend.

What We're Looking For

  • 2+ years of engineering experience, with a strong focus on AI and LLM-oriented work rather than frontend or non-NLP specializations.

  • Strong hands-on experience with NLP, LLMs, embeddings, ML, and AI-powered applications.

  • Demonstrated experience building and scaling data and ML pipelines for large-scale unstructured data.

  • Experience applying RLHF or DPO to align language models with human feedback.

  • Full-stack development experience 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.

Compensation & Benefits

  • Salary: 80,000 to 130,000 EUR annually, depending on experience.

  • Visa sponsorship: Available.

Location

This is a fully on-site role based in Munich, Bavaria, Germany. Candidates must be willing and able to work in person in Munich on a regular basis.

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