Senior AI Engineer

Trueflag; Barcelona; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A tech-driven organization is seeking a Senior AI Engineer to develop AI/NLP models that combat disinformation. You will collaborate with a diverse team to create intelligent systems for automated fact-checking. The ideal candidate has robust expertise in Python, machine learning, and NLP. This role offers a competitive salary and the benefit of 100% remote work anywhere in Spain.

Servicios

100% remote work

Flexible working hours

Competitive salary

Team-building events

Formación

• Proficient in Python programming with over 7 years of experience.
• In-depth knowledge of machine learning techniques, algorithms, and NLP.
• 3+ years of experience using NLP models like BERT, GPT for vector search.

Responsabilidades

• Develop AI/NLP models and libraries for intelligent services.
• Collaborate with data scientists, data engineers, and MLOps specialists.
• Design systems capable of automated fact-checking.

Conocimientos

Proficient in Python programming

Backend software engineering

MLOps expertise

Machine learning techniques and algorithms

Natural language processing (NLP)

Data science libraries (Numpy, pandas)

Deep learning frameworks for LLMs

NLP models (BERT, GPT)

Training and fine-tuning ML models

Collaborative mindset

Herramientas

Numpy

pandas

torch

scikit-learn

Transformers library

Descripción del empleo

Would you like to join a cutting‑edge tech project with a positive impact?

From Newtral, Trueflag emerges as a spin‑off with the mission of using GenAI and NLP methods to combat disinformation and fake news.

We are looking for a Senior AI Engineer who combines expertise in Python software development and deep learning techniques, with the ability to handle large datasets and tackle NLP problems with a strong business and customer‑oriented mindset.

We are looking for a Senior AI Engineer with expertise in language technologies and Generative AI.

As part of our AI team, you will join a group of passionate professionals exploring the potential of natural language processing (NLP), Generative AI, and multimodal models to detect fake news. You will collaborate with data scientists, data engineers, MLOps specialists, and fact‑checkers to design the next generation of intelligent systems capable of automated fact‑checking.

Your mission will be to develop AI/NLP models and libraries to support the intelligent services and agents we are building.

What do we offer?

• Be part of an innovative project where your work will have a direct positive impact.
• Join a leading engineering team that is diverse and fosters a great working environment.
• 100% remote work from anywhere in Spain, with the option to work from a co‑working space in Madrid or Vigo.
• Off‑sites and team‑building events.
• Flexible working hours.
• Competitive salary aligned with the global market for a principal engineer (higher level of seniority).

Requirements :

• Proficient in Python programming with over 7 years of experience.
• Backend software engineering and MLOps expertise.
• In-depth knowledge of machine learning techniques, algorithms, and natural language processing (NLP).
• Skilled in data science libraries and frameworks such as Numpy, pandas (or accelerated alternatives, cuDF, polars), torch, scikit‑learn.
• Expertise in NLP and deep learning frameworks for LLMs (Transformers library, PEFT, TRL…)
• 3+ years of experience using NLP models like BERT, GPT, and Sentence‑BERT for vector search.
• Skilled in training and fine‑tuning ML models (including LLMs) and creating evaluation frameworks linking metrics to business impact.
• Experienced in working with short development cycles.
• Collaborative mindset, working closely with product architecture teams to integrate research and development into products.

Bonus points :

• Hands‑on experience with RAG pipelines (Langchain, Llamaindex or related) and vector databases (Qdrant, pgvector, open search or related).
• Expertise in designing and implementing with vector databases (Qdrant, ElasticSearch, FAISS, etc.).
• Hands‑on experience with agentic and workflow‑based frameworks, such as LangGraph, Google ADK or smolagents. MCP client‑server protocol.

Are you ready to take on this challenge?