AI Architect (Hands-on)
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Location
Spain
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Remote
100%
- Full remote
- Wellbeing pack
- Flexible working hours
WHY CHOOSE Sngular?
People come to Sngular attracted by projects that use cutting-edge technologies, and they stay because of the great professionals they work with. And also because we offer this:
🙋♂️ People first: We are a collaborative, people-oriented company where YOU and your perspective will always be valued. Our number one value is "People before results." Does it sound nice? Well, at Sngular, we also put it into practice.
📈 Growth and continuous training: We have the spirit of a start-up with the infrastructure of a large organization (we are already 1300). You will be offered professional growth opportunities: learn new skills, obtain new certifications, or become a great Leader... leave your comfort zone in the way YOU want!
🏋️♀️ Incredible benefits (detailed at the end), we even have a Wellbeing Pack to take care of our physical and mental well-being.
At Sngular, we adopt a plural culture where we work with respect, where there is equal opportunity, where we pride ourselves on being proactive, we work with humility, and we always try to maintain a team spirit, without ever losing our good humor.
Discover everything that makes Sngular a #BestPlaceToGrow
What will you do?
As an AI Expert or Architect, you will be responsible—together with the team—for designing solutions based on Generative AI. This requires a solid technical background and a hands-on approach, with proven experience in implementing language models and AI agents in various projects, including deploying real-world, moderately complex models to production.
WHAT ARE WE LOOKING FOR?
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Machine Learning & Deep Learning Models – Experience using and integrating generative models such as GPT, Claude, Mistral, or LLaMA. Knowledge of advanced architectures like Transformers, CNNs, GANs.
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Advanced Prompting Techniques – Proficiency in prompt engineering (Chain-of-Thought, ReAct, Tree-of-Thought, etc.).
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AI Frameworks – Mastery of TensorFlow, PyTorch, or similar tools.
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Natural Language Processing (NLP) – Experience with embeddings (Word2Vec, FastText, BERT), vector search, and fine-tuning of pre-trained models.
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Generative AI Development – Experience orchestrating LLMs and complex conversational agents using tools like LangChain, LangGraph, DSPy, CrewAI, or Google ADK. Knowledge of conversational flow design, structured content generation, and agent-based reasoning systems.
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LLM Monitoring & Evaluation – Familiarity with observability tools and techniques for continuous model improvement in production, such as LangSmith, LangFuse, or similar tools for prompt tracking, debugging, and performance evaluation.
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Large-Scale Data Management – Experience with structured and unstructured databases, Data Lakes, and vector databases such as FAISS, Pinecone, Weaviate, ChromaDB.
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Model Optimization & Deployment – Knowledge of techniques like quantization and distillation, and efficient inference frameworks like vLLM, Triton, or ONNX Runtime. Familiarity with containerization and deployment in CUDA environments.
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Cloud & DevOps for AI – Experience with Azure, AWS, or GCP, using tools such as SageMaker, Vertex AI, Azure AI Foundry, and MLOps frameworks like Kubeflow, MLflow, Metaflow, BentoML.
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Integration & APIs – Development of APIs for LLMs, third-party tool integration, and pipeline implementation with FastAPI, Flask, or gRPC.
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Advanced Programming – Expert-level proficiency in Python, with experience building scalable and robust systems.
Responsibilities
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Design and implement artificial intelligence models to solve specific problems and optimize their performance.
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Develop and orchestrate AI systems for process automation, content generation and conversational agents.
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Monitor and evaluate the performance of models to improve their accuracy, efficiency and adaptation to different scenarios.
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Optimize and deploy AI models ensuring their scalability, efficiency and cost-effectiveness in production environments.
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Manage AI infrastructure and processes in the cloud to facilitate the implementation of high-impact solutions.
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Lead technical strategy in artificial intelligence by guiding the team in the validation, adoption and continuous improvement of models.
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Explain complex AI concepts to technical and business teams facilitating the integration and understanding of proposed solutions.
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Working day
Full time
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Location
Spain
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Remote
100%
Technologies and Skills
Mandatory
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Generative AI Expertise ( GPT, Claude, Mistral, Llama)
Advanced -
Core AI Frameworks (TensorFlow, PyTorch or similars)
Advanced -
Cloud & MLOps for A (Azure, AWS o GCP, SageMaker, Vertex AI, Azure AI Foundry, Kubeflow, MLflow, Metaflow, BentoML)
Intermediate -
Data Handling at Scale (SQL y NoSQL, FAISS, Pinecone, Weaviate, ChromaDB)
Advanced -
Python
Intermediate -
LLM Frameworks & Agents / RAG Systems (LangChain, LangGraph)
Advanced -
Natural Language Processing (NLP)
Advanced
Skills
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Proactivity
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Ability to work in team in diverse
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Analytical thinking
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Technical Leadership
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Innovation & Research
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High English Proficiency (C1)
Benefits
Welcome pack
Wellbeing pack
December 24th and 31st
Birthday
Free unlimited access to UDEMY
Tutti fruties every Friday
Additional bonuses: recommendations, being a speaker and writing technical articles.
Teambuilding Dynamics and Events
Inspire us with your talent!
If you are interested in developing your career in our teams, send your CV and join us to face the exciting challenges that await us.