Senior AI Engineer - GenAI and ML

Senior AI Engineer – GenAI and ML

Location: Remote from Spain (an indefinite Spanish employment contract)

We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together!

We are looking for a seasoned AI engineer with a strong technology and consulting background to extend the AI/ML Practice. You will support presales activities, lead discovery workshops, shape architectures, build POCs and MVPs, and guide selected solutions into production with client teams, focusing on GenAI applications.

• Master or higher degree in Computer Science, Engineering, or related field.
• 5+ years in data science, AI or ML engineering with shipped GenAI applications
• Proficiency in Python and cloud AI services on Azure, AWS, or GCP
• Experience in designing and implementing end-to-end machine learning pipelines
• Practical knowledge of RAG and agentic workflows, with proven choices of tools based on performance, cost, and compliance needs
• Ability to outline context engineering choices - grounding sources, chunking approaches, retrieval strategies, and their trade-offs
• Strong experience with NLP; exposure to multimodal use cases is a plus
• Comfort switching between GenAI and traditional ML depending on project needs
• Proven ability to connect technical decisions to business outcomes
• Excellent communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
• At least Upper-intermediate level of English

• Hands‑on experience with document or image RAG, computer vision, or speech-to-text
• Domain exposure in automotive, retail, manufacturing, healthcare, energy, finance, or telecom

• Drive the ideation, development, and execution of POCs and MVPs in GenAI and ML, demonstrating clear business impact
• Lead key client engagements from discovery workshops through production and continuous improvement, acting as team starter and technical advisor
• Design and build RAG and agent workflows including context engineering, tool use and routing
• Build service offerings and reusable accelerators for AI solutions, and support presales and proposals
• Run stakeholder workshops, align on value, and turn needs into clear, testable acceptance criteria
• Contribute to thought leadership by speaking at conferences, conducting webinars, and sharing best practices with the AI/ML community

At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

Mid‑Senior level

Full‑time

Information Technology and Engineering; Engineering Services and IT Services and IT Consulting

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