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About the Role

This role is within the AI Office, responsible for designing, building, and running Janus Digital’s AI platform. The engineer will join a small, senior group working at the core of the company's AI application across global operations. The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve.

Responsibilities

• Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers.
• Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment.
• Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM.
• Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale.
• Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves.
• Contribute to and evolve the memory and knowledge architecture at the core of the platform—a structured, multi-graph, file-based system underpinning institutional intelligence across the company.
• Architect the platform as a composition of isolated, independently deployable microservices—each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them.

Requirements

• 5+ years in a full-stack software engineering role, with shipped, production systems at scale—backend and frontend both visible in your GitHub history.
• Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand.
• Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure). You architect cloud-native systems, not just deploy to a single VM.
• Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment.
• Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack.
• Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production.
• Enterprise identity and access management implemented in production—SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD—not just read about.
• API design for external consumers: versioning, authentication, rate limiting, and documentation standards.
• Security fundamentals: zero-trust principles, data isolation, audit logging, DLP—security as a design constraint, not a post-launch checkbox.
• AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration.
• Fluent with agentic development tooling—Claude Code, Codex, and CLI-based AI workflows—used with discipline and judgment, not as a substitute for engineering thinking.
• Active GitHub profile mandatory—applications without a demonstrable commit history will not be considered.

Skills

• Python
• TypeScript
• React
• AWS
• Docker
• Kubernetes
• SSO (SAML/OIDC)
• SCIM
• RBAC
• IAM
• MCP
• Claude Code
• Codex
• Terraform

Location

• UAE

Work Type

• Full-time

Experience Level

• 5+ years

Benefits

• Competitive compensation with performance-based incentives tied to delivery quality and client outcomes.
• Sponsorship and support for professional development, including certifications in building services and energy management.

About the Company

• Janus Digital is the agentic AI platform that runs the world's real assets.
• Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.
• Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them.
• We exist to change that, proving that AI for Good is also good business.
• Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics.
• It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock.
• The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&D, 76 granted patents, and over $100M invested.
• The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing.
• Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.