Principal AI Engineer - full remote from Spain

Trueflag; España; Remote; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Remote in Spain

Co-working Madrid/Vigo option

Off-sites and team-building

Job summary

Trueflag, born from Newtral, seeks a Senior AI Engineer to build AI/NLP models and libraries that support automated fact-checking. You will work with data scientists, engineers, and product teams to deploy scalable NLP solutions using LLMs, vector databases, and retrieval pipelines.

The role offers 100% remote work in Spain, with optional coworking spaces in Madrid or Vigo. Competitive salary for a senior position plus off-sites and team-building events are provided.

Qualifications

Responsibilities

• Develop AI/NLP models and libraries to support intelligent services and agents.
• Collaborate with data scientists, data engineers, MLOps specialists, and fact-checkers to design scalable NLP solutions.
• Turn research into production-ready code and pipelines with measurable business impact.

Skills

Python

MLOps

NLP

Transformers

PEFT

TRL

BERT

GPT

Sentence-BERT

VectorSearch

FineTuning

LangGraph

LangChain

LlamaIndex

Qdrant

OpenSearch

FAISS

ElasticSearch

MCP

Collaboration

Tools

LangChain

LlamaIndex

Qdrant

pgvector

OpenSearch

FAISS

ElasticSearch

Transformers

LangGraph

GoogleADK

smolagents

MCP

PyTorch

Numpy

Pandas

Scikit-learn

Job description

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

From Newtral, Trueflag emerged 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 Senior AI Engineers 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.
• 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.
• 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?