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Software Engineering
Fullstack AI Product Engineer
Principal
Bulgaria, Canada, Croatia, Cyprus, Egypt, Germany, India, Japan, Malta, Poland, Portugal, Saudi Arabia, Spain, Ukraine, United Arab Emirates, United Kingdom, United States
Remote
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We are looking for a Tech Lead Engineer to design and lead the implementation of an enterprise-grade registry and discovery platform for AI agents, tools, and MCP services. The role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with AWS AgentCore ecosystem components. The ideal candidate has strong platform engineering expertise, experience building catalog or registry systems at scale, and a deep understanding of API security, governance, and cloud-native architectures.
What project we have for you
Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.
Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.
The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.
What you will do
- Lead the architecture and implementation of an enterprise MCP Server Registry platform.
- Design and maintain metadata schemas for MCP servers, tools, and agent capabilities aligned with Canonical Contract standards.
- Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native services.
- Develop registration, discovery, approval, and lifecycle management workflows for MCP servers and agent capabilities.
- Design semantic discovery mechanisms using vector search, embeddings, and relevance ranking techniques.
- Integrate identity systems and implement Entra Agent ID mapping across agent ecosystems.
- Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
- Design governance processes for onboarding, approval, certification, deprecation, and retirement of MCP services.
- Build and maintain APIs supporting registry operations, discovery services, metadata management, and governance workflows.
- Implement secure credential and secret management using Vault and cloud-native security controls.
- Collaborate with security, platform, and AI engineering teams to establish registry standards and governance policies.
- Design operational observability, auditability, and compliance capabilities across the registry platform.
- Mentor engineers and provide technical leadership across registry and discovery initiatives.
- Produce architecture documentation, implementation standards, and platform governance guidelines.
What you need for this
• AWS AgentCore Registry + Gateway
• MCP server metadata schema design (Canonical Contract alignment)
• Python backend (FastAPI, DynamoDB)
• Identity integration (Entra Agent ID mapping)
• Semantic discovery (vector search, embedding-based tool lookup)
• Vault credential management
Experience:
• 5+ years backend or platform engineering
• Registry or catalog system architecture at enterprise scale
• OAuth / JWT authentication for API protection
• Governance workflow integration (approval, lifecycle gates)
Will be a plus:
• AWS AgentCore Registry
• Semantic search/vector DB integration (pgvector, OpenSearch)
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.
