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AI/ML Engineering
Machine Learning Operations Engineer
Senior
India, Poland, 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
Short description of the function: Engineer responsible for embedding AI across SDLC using MCP, context engineering, LLM automation, and intelligent workflows.
At the Cart & Checkout team, our primary responsibility is to manage the process of customers purchasing products from our shops. This includes overseeing the addition of items to the shopping cart, collecting shipping and billing information, fraud prevention and remediation and other payment processes. We play a crucial role in the shopping process, as we handle the final steps of the shopping experience and ensure that orders are placed successfully.
What you will do
Description of essential job tasks
• 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
Necessary qualifications
• Strong programming experience (Java/Python/Kotlin).
• Hands-on LLM integration experience.
• 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
