LLM Engineer — Remote/Hybrid AI & RAG

Tmoose; Madrid; Híbrido; EUR 85.000 - 125.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

24 days paid vacation

Home setup allowance

MacBook Air

Hybrid/Remote options

Descripción de la vacante

Ultralytics is seeking an LLM Engineer to advance our LLM capabilities, deploying state-of-the-art models and building APIs for seamless integration. You will optimize performance, collaborate on AI-driven solutions, and ensure data quality and reliability across pipelines.

Ideal candidates have extensive experience with LLMs, transformer models, NLP concepts, and production deployments. The role offers hybrid/remote options and opportunities to work on open-source AI tooling and RAG projects.

Formación

• 5+ years of Python and AI/ML frameworks experience.
• LLMs and transformer architectures expertise.
• NLP concepts, tokenization, embeddings, and fine-tuning.
• Experience deploying LLMs in production environments.
• Experience with APIs from Anthropic, OpenAI, Voyage, DeepSeek and Gemini.
• Experience building internal tools leveraging LLMs.

Responsabilidades

• Researching, fine-tuning, and deploying state-of-the-art LLMs.
• Developing APIs and tools to enable seamless integration of LLM functionalities.
• Optimizing model performance for scalability and efficiency.
• Collaborating with the team to create innovative AI-driven solutions.
• Implementing automated checks for data quality and pipeline reliability.
• Supporting the integration of LLMs with Ultralytics solutions and workflows.
• Building internal company tools leveraging LLM capabilities.
• Designing and deploying Retrieval-Augmented Generation (RAG) applications.
• Enhancing query enrichment, reranking, and search relevance systems.
• Ensuring compliance with SOC 2 and ISO standards.
• Engaging with the open-source community to promote adoption and gather feedback.
• Writing and maintaining technical documentation and guides.
• Staying at the forefront of LLM advancements and sharing insights with the team.

Conocimientos

Python

LLMs

Transformer architectures

NLP concepts

API integration

Open-source AI tools

RAG applications

Query enrichment & reranking

Herramientas

Docker

AWS

GCP

Azure

Anthropic API

OpenAI API

Voyage API

DeepSeek API

Gemini API

Descripción del empleo

Ultralytics is seeking an LLM Engineer to advance our LLM capabilities, deploying state-of-the-art models and building APIs for seamless integration. You will optimize performance, collaborate on AI-driven solutions, and ensure data quality and reliability across pipelines.

Ideal candidates have extensive experience with LLMs, transformer models, NLP concepts, and production deployments. The role offers hybrid/remote options and opportunities to work on open-source AI tooling and RAG projects.