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Salary
$92k – $150k per year
Location
Remote/Hybrid (Munich, Germany)
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

This is a hands-on AI engineering role at a fast-growing, Y Combinator-backed B2B SaaS startup building AI-powered sales automation for distributors and manufacturers. You will work across the full stack to design and ship end-to-end AI systems that directly drive product growth and customer impact.

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.

  • Optimize algorithms for product search and discovery.

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

  • Build data pipelines to process large-scale unstructured data efficiently.

  • Improve backend scalability, stability, and performance.

What We're Looking For

  • 2+ years of engineering experience, with substantive AI/LLM or backend-oriented depth (not frontend-focused).

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

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

  • Hands-on experience applying RLHF or DPO to align LLMs with human feedback.

  • Full-stack development skills using React, TypeScript, and Next.js.

  • Experience with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).

  • Strong computer science fundamentals.

  • Ability and willingness to work on-site in Munich on a regular basis.

Compensation & Benefits

Salary range: 80,000 to 130,000 EUR annually. Visa sponsorship is available.

Location

On-site in Munich, Bavaria, Germany. This is not a remote or heavily hybrid position; regular in-person presence is expected.

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