Why This Role Stands Out
As an AI/LLM Engineer at Clera, you'll have the opportunity to shape core product features and drive innovation within a fast-paced, Y Combinator-backed startup. This role is ideal for an experienced engineer eager to build end-to-end AI systems, optimize LLMs, and contribute to scalable data pipelines, offering significant growth potential in a collaborative team environment. Apply now to make a direct impact on the future of sales automation!
Quick Overview
Job Description
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.
Similar jobs
- II
Duales Studium BWL - Spezialisierung Artificial Intelligence (B.A.) am Campus oder virtuell
NewIU Internationale Hochschule GmbH
München, Bayern🇩🇪Hybrid23 hours ago - GG
Forward Deployed AI Engineer (m/f/d) - Hybrid
NewGGW Group
Hamburg-Altstadt, Hamburg🇩🇪Hybrid2 hours agoLLMTechnology - RA
AI Engineer (m/f/d)
NewRaisin
Berlin🇩🇪8 hours agoAWSHTTPSLLM+1Technology - AL
AI Engineer - Data
NewAlmedia
Berlin🇩🇪13 hours agoGCPSQLAWS+4Technology - JU
AI Engineer | Voice
NewJupus
Germany🇩🇪RemoteYesterdayGenerative AILLMPythonTechnology - DA
Senior AI Engineer – Notebooks
NewDatadog
France🇩🇪Remote9 hours agoSpringDatadogHTTPS+2Technology