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Engineering · Remote · PortugalFull-time

AI Engineer

Design and build practical AI solutions across Machine Learning, Gen AI, Agentics, and Federated Learning.

At Dypsis AI, we believe AI only matters when it creates real impact. We build AI solutions that improve productivity, simplify workflows, and help teams work smarter every day.

We are looking for AI Engineers to design and build solutions based on Machine Learning, Gen AI, Agentics, and Federated Learning. You will work hands-on on practical, high-impact AI solutions focused on operational efficiency and business value.

What you'll do
  • Design and develop AI applications and pipelines (mainly in Python) using frameworks such as Claude Agent SDK, CrewAI, LangChain, LlamaIndex, and HuggingFace.
  • Build textual and visual RAG systems and internal chatbots to optimize workflows and knowledge management.
  • Create LLM-powered automations (e.g. document analysis, report generation, internal search, decision support).
  • Integrate and scale AI solutions in collaboration with cross-functional teams.
  • Monitor model performance and quality, applying MLOps best practices.
  • Prepare data pipelines and train Machine Learning models.
What we're looking for
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
  • Additional training or certifications in Machine Learning, Deep Learning, or MLOps are a plus.
Skills required
  • Strong proficiency in Python.
  • Hands-on experience with AI / LLM frameworks (e.g. CrewAI, LangChain, OpenAI API, Transformers, vLLM).
  • Solid understanding of RAG systems and vector databases (FAISS, Chroma, PostgreSQL + pgvector).
  • Experience building APIs (e.g. FastAPI).
  • Practical knowledge of MLOps (Docker, CI/CD, model versioning, observability tools like Langfuse).
  • Strong analytical mindset to translate business needs into practical AI solutions.
  • Good communication skills and a collaborative attitude.
Nice to have
  • Experience with coding agents (e.g. Claude Code), context engineering, or LLM fine-tuning.
  • Familiarity integrating AI into internal tools (Slack, Notion, CRMs).
  • Interest in agentic systems, applied Machine Learning, and AI-driven productivity.
  • Curiosity, autonomy, and a product-oriented mindset.
What we offer
  • Competitive salary between €27,000 and €35,000 per year, based on experience and technical level.
  • Health insurance.
  • Meal allowance.
Start

Bring us the problem nobody has cracked yet.

We are a small team of senior specialists. We pick the right model and the right layer, and we build the least machinery that does the job. You get a call with an engineer, not a sales deck.