AI/LLM Engineer

CLERA, LLC
San Francisco, CA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$90,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Next.js Software Deployment TypeScript Unstructured Data ReactJS Large Language Models Containerization Kubernetes
+4 more
Machine Learning Operations Terraform Data Pipelines Docker

Job description

A fast-growing, Y Combinator-backed B2B SaaS startup in the sales automation space is looking for an AI/LLM Engineer to join their team in Munich. The company automates quote and order processing for distributors and manufacturers - helping sales teams eliminate manual overhead and close more deals with AI-driven tooling.

This is a high-impact, full-stack AI engineering role where you’ll own end-to-end delivery of intelligent features: from data pipelines and LLM fine-tuning to production deployment. You’ll be joining a small, senior team at an early stage with significant engineering ownership and direct influence on product direction.

Requirements

Must-haves:

  • 2+ years of hands-on engineering experience
  • Strong experience with NLP, LLMs, embeddings, ML, and production AI agents
  • Experience with full-stack development using React, TypeScript, and Next.js
  • Demonstrated experience scaling data and ML pipelines, including large-scale unstructured data
  • Practical experience with RLHF and DPO for LLM alignment
  • Strong CS fundamentals
  • Willingness to work on-site in Munich

Nice to have:

  • Experience with containerization (Docker, Kubernetes)
  • Cloud infrastructure experience (AWS, Azure, or GCP)
  • Infrastructure-as-code experience (Terraform)

Benefits & conditions

$90,000 - $200,000 a year - Full-time

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

5:30 min

Building components of a real-world LLM lifecycle

Maxim Salnikov Maxim Salnikov · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

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Scaffolding pages and routing single-page applications with Next.js

Josh Goldberg · JS Congress

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

1:59 min

Building culturally aware LLMs for global audiences

Werner Vogels Werner Vogels +1 · World Congress 2026 Europe

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

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