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AI Product & Systems Engineer
Skills
10 days ago
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Important information
Contract type:
Permanent
Location:
Beirut, Lebanon
Work mode:
Onsite
Published on:
17 October 2026
What they need
About the role
Cedar Legacy is a single-family office looking for someone to build and own the systems, data structures, and AI-native workflows the firm runs on. The role sits between engineering, product, and AI implementation. You won't just be writing code to spec or managing a roadmap, you'll be figuring out what the firm actually needs, then building it yourself: data architecture, filing systems, and workflows with AI built in from the start rather than added on later.
What you'd own
The firm's core data and knowledge architecture: how information is structured, stored, and connected across entities, portfolios, and workflows
Folder, filing, and documentation systems built to scale with the firm
Identifying which recurring tasks and processes can be automated or AI-assisted, then building those solutions
Keeping the firm current on software and AI tooling, evaluating what's worth adopting versus noise
Working directly with the principals to turn operational needs into working systems
What we're looking for
2 to 4 years of experience spanning some mix of software engineering, product management, and AI consulting or implementation
Genuinely AI-native: fluent in building with LLMs, agents, and automation, not just using AI tools day to day
Comfortable owning both the thinking (what should this system look like) and the building (making it real)
Strong data and systems instincts: database design, integrations, workflow architecture
Experience translating messy, informal processes into structured, maintainable systems
Independent and trustworthy with sensitive financial and personal information
Why this role
This is a small team, so you'd report directly to the principals and have real say over what tools and architecture the firm uses
Competitive compensation, based on experience (on-site in Beirut, Lebanon)
Direct daily collaboration with the office's senior team, no layers of middle management
High trust and autonomy once ramped up
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