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Salary
$91k – $148k per year
Location
In office (Munich)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 23, 2026. Clera scores B on the Alion truth index.

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

You'll join a small, fast-moving team building end-to-end AI systems for a B2B SaaS platform that automates quoting and order processing for distributors and manufacturers. Sitting at the intersection of AI, data engineering, and full-stack development, this role has a direct impact on the product's core intelligence and scalability.

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.

Compensation & Benefits

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

  • Visa sponsorship: available.

Location

On-site in Munich, Bavaria, Germany. Candidates must be willing and able to work in person on a regular basis.

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