Job Description, Responsibilities & Requirements
About the Position
We are looking for a Senior 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 a better experience for more than 11 million of our customers!
What Project We Have for You
As an Engineer, you will be responsible for embedding AI across SDLC using MCP, context engineering, LLM automation, and intelligent workflows. Your primary responsibility will be to develop and maintain public-facing pages such as Navigation, Search, Product listing, and Product details.
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
Responsibilities
- 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.
Requirements
- 5+ years of strong programming experience: Python
- 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.
We Offer
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.
About the Company
At Intellias, we believe in the power of technology to drive innovation and create meaningful change. Our team is passionate about leveraging cutting-edge technologies to solve complex challenges and deliver exceptional results for our clients. Join us in shaping the future of technology and making a lasting impact on the world.