Intellias
Senior Talent Delivery Specialist – looking for innovative and passionate people at Intellias Spain.
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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function & Industries: Information Technology and Engineering; Engineering Services and IT Services and IT Consulting
Referrals increase your chances of interviewing at Intellias by 2x
#J-18808-Ljbffr
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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function & Industries: Information Technology and Engineering; Engineering Services and IT Services and IT Consulting
Referrals increase your chances of interviewing at Intellias by 2x
#J-18808-Ljbffr