Senior AI Engineer
hace 2 semanas
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
Project Overview :
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.
Requirements:
- 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
Nice to have:
- 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
Responsibilities:
- 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
Why this position:
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.
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