Principal MLOps Engineer – GenAI Platforms

Meet your recruiter Olha Yakuba

olha.yakuba@intellias.co...

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

Vacancy details

AI/ML Engineering

Machine Learning Operations Engineer

Principal

Bulgaria,

Croatia,

Poland,

Portugal,

Spain,

Ukraine

Remote

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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 MLOps Engineer with strong technology and consulting experience to join the AI/ML Practice team at Intellias. Join us to blueprint GenAI platforms and establish LLMOps practices for client teams across industries, partnering from presales and discovery through PoC to production.

What you will do

Responsibilities

Lead discovery with stakeholders and define adoption roadmaps and reference architectures
Set lifecycle practices for GenAI (LLMOps)
Architect retrieval and provider layers (RAG, vector stores, model gateways) with portability, cost, and compliance in mind
Implement RAG/agent workflows that orchestrate tool-calling, retrieval, and grounded answering
Enable agentic applications at platform level and define solution patterns and evaluation gates (standardized tools, routing, shared memory, HIL, safe fallbacks) aligned with enterprise integration, security, and cost
Set standards for ingestion, chunking, embedding, and indexing pipelines; select and tune vector databases for retrieval
Establish CI/CD, Infrastructure-as-Code, observability, and automated testing
Define governance and safety guardrails
Establish environment strategy and promotion paths, and a clear handover plan to client teams
Package reusable patterns/accelerators, mentor engineers, and support presales and proposals

What you need for this

Requirements

7+ years in MLOps/platform architecture or adjacent roles, with shipped AI systems
Proficient Python and strong software engineering principles
Deep experience with at least one major cloud (AWS/Azure/GCP) and platform engineering (containers, Kubernetes, IaC such as Terraform)
Experience in designing and guiding scalable machine learning pipelines for model training, validation, and deployment
Proven CI/CD design for GenAI/ML (evaluation gates, versioning, canary, rollback) and collaboration with security/governance stakeholders
Sound judgement selecting RAG/vector and provider stacks based on performance, cost, compliance, and portability
Agent orchestration frameworks (e.g., LangGraph/Semantic Kernel) and tooling protocols (e.g., MCP)
Experience operationalizing multi-agent systems (tools/routing/memory/guardrails, human-in-the-loop)
Process automation and enterprise integrations
Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, stakeholders’ leadership
Upper-intermediate level of English

Nice to have:

Master or higher degree in Computer Science, Engineering, or related field
On-prem LLM deployments; performance and cost tuning with caching and model routing
AI safety, policy, and compliance experience in sensitive environments
Public speaking and enablement and building reusable accelerators
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.