---
title: "AI/LLM Engineer"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-ai-llm-engineer-64ba2310-b0c1-463d-80f7-f5097f567edb"
apply_url: "https://jobs.ashbyhq.com/clera/a4c71c6a-f929-4f56-95eb-4dd691630ce9"
workplace: onsite
location: "Munich"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: europe
skills: ["aws", "azure", "docker", "gcp", "kubernetes", "llm", "nextjs", "nlp", "react", "terraform", "typescript"]
date_posted: 2026-09-16T17:22:36.643Z
first_seen_by_remjobs: 2026-09-16T17:35:43.364Z
---

# AI/LLM Engineer

**Clera** · Munich

Apply: https://jobs.ashbyhq.com/clera/a4c71c6a-f929-4f56-95eb-4dd691630ce9

## About Clera

Stop applying to startups. Start getting introduced. Clera connects you directly with hiring managers at the companies you want to work for.

## About the role

##### 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.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-ai-llm-engineer-64ba2310-b0c1-463d-80f7-f5097f567edb