Senior AI Engineer - GenAI and ML

Meet your recruiter Viktoriia Tochylova

viktoriia.tochylova@inte...

https://www.linkedin.com...

Vacancy details

AI/ML Engineering

Machine Learning Engineer

Senior

Bulgaria,

Croatia,

Poland,

Portugal,

Spain,

Ukraine

Remote

Apply now

Refer a friend now

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!

What project we have for you

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.

What you will do

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

What you need for this

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.
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

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.