Founding Software Engineer

JR Spain; España; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative platform is seeking an AI Engineer to design and implement cutting-edge AI systems. In this exciting role, you will focus on production-grade AI systems, particularly in the area of large language models (LLMs) and autonomous agents. You will be responsible for developing optimized retrieval-augmented generation systems and building robust Python applications. Join a dynamic team that values transparency and rapid iteration, and contribute to a culture of learning and innovation in the fast-evolving AI landscape. This is a unique opportunity to make a significant impact in a forward-thinking environment.

Formación

• Experience deploying agent architectures and LLMs at scale.
• Deep understanding of LLMs and prompt engineering.
• Knowledge of performance optimization and monitoring.

Responsabilidades

• Design and implement production-grade AI systems focusing on LLMs.
• Develop optimized Retrieval-Augmented Generation (RAG) systems.
• Deploy, monitor, and maintain AI systems in production environments.

Conocimientos

Problem-solving skills

Data-first mindset

Passion for learning

Experience in fast-iteration environments

Herramientas

SQL

NoSQL

ChromaDB

Pinecone

Descripción del empleo

The job description provides a comprehensive overview of the role, responsibilities, and required skills. However, it can be improved for clarity and readability by organizing the content with clearer headings and ensuring consistent formatting. Here's a refined version:

Social Network Platform - AI Engineer Role

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Responsibilities

1. Design and implement production-grade AI systems focusing on LLMs and autonomous agents.
2. Develop optimized Retrieval-Augmented Generation (RAG) systems and embedding pipelines.
3. Build robust Python applications emphasizing asynchronous programming and performance.
4. Deploy, monitor, and maintain AI systems in production environments.
5. Establish a scalable and maintainable technical foundation, balancing delivery speed with long-term scalability.
6. Champion AI advancements, particularly in Agentic AI, and apply these insights to create value-driven solutions.
7. Contribute to building a performance-driven culture that values transparency, simplicity, and rapid iteration.
8. Foster a culture of learning and innovation to adapt to the rapidly evolving AI landscape.

Desired Skills

• Experience working in fast-iteration environments, ideally with startup experience.
• Problem-solving skills with a focus on delivering outcomes.
• Passion for learning and high performance within a team.
• Data-first mindset with an understanding of how data can improve products and business models.
• Experience deploying agent architectures and LLMs at scale.

Technical Skills

• Testing, logging, monitoring, and performance optimization.
• Knowledge of SQL and NoSQL data storage solutions.
• Experience with high-throughput, low-latency systems.

LLMs Usage

• Deep understanding of LLMs, prompt engineering, chaining, caching, and fine-tuning.
• Experience with open-source and closed-source LLMs.
• Knowledge of Retrieval-Augmented Generation (RAG), embedding optimization, chunking strategies, and vector databases like ChromaDB and Pinecone.
• Experience with LLM frameworks such as Llamaindex and Langchain.
• Understanding of model evaluation metrics and performance benchmarks.
• Awareness of LLM guardrails and security best practices.