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Vacancy details
AI/ML Engineering
Machine Learning Operations Engineer
Strong Middle
Ukraine
Remote
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We are looking for a AI SDLC Engineer to join our Team, to bring to life new features and support the move of our services and products to modern architecture. You will be working closely with Product Owner, Product Designer, Domain Architect and your team members clarifying business needs and technical requirements and defining how to support them in the best way. In close collaboration with other teams, your team will introduce new features and improvements for catalog pages in the website to provide better experience for more than 11 millions of our customers!
What project we have for you
Engineer responsible for embedding AI across SDLC using MCP, context engineering, LLM automation, and intelligent workflows.
At our team, our primary responsibility is to develop and maintain public-facing pages such as Navigation, Search, Product listing and Product details.
These are some of the technologies/frameworks/practices we use:
- JavaScript, HTML, CSS, React, SASS, Webpack, NextJS, Jest, Playwright
- Git, Jenkins
- Kubernetes, Helm, Docker
- InfluxDB, Kibana, Grafana, Prometheus
- Amazon Web Services and cloud deployments (S3, SNS, SQS, CloudFront, Lambda etc.) with Terraform
- Scrum, Pair Programming, Peer Reviewing
What you will do
• Implement AI-driven SDLC accelerators (code-gen, review automation, smart testing).
• Develop MCP-based extensions to streamline developer workflows.
• Apply context-engineering for structured AI reasoning.
• Build LLM-integrated CI/CD workflows.
• Collaborate with cross-functional teams for AI adoption.
What you need for this
• Strong programming experience (Java/Python/Kotlin).
• Hands-on LLM integration experience (Github CoPilot / Kiro)
• Knowledge of RAG, embeddings, vector DBs.
• Experience with Docker, Kubernetes, Terraform.
• Experience with intelligent test automation.
Core Competencies
• MCP Engineering – building modular context-aware tooling.
• Context Engineering – structuring and optimizing AI reasoning.
• AI-Augmented Architecture patterns.
• Product thinking for GenAI adoption.
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.
Skills
AI
SDLC
