Founding AI Platform Engineer (Agents & RAG) - Fulltime - EMEA/LATAM/NA

• Interim setup: Stand up one enterprise AI platform on a private cloud account; structure all work as missions with approval checklists, an evidence log and per-client folders.
• Platform MVP: Build the first agents (mission manager, intake & data, analyst, evidence auditor), the evidence ledger and the approval console. First use case: an AI operations diagnostic for advisory clients.
• Full platform (v1): Scale to a roster of ~12 agents under a manager agent; build a model gateway that selects the best model per agent, with review agents on a different model family; RAG from day one; tiered data layers (firm-wide, advisory, per-client encrypted vaults); hard-stop approval gates.
• Client delivery: Run agent work in the firm’s sandbox on copies of client data; support human-led deployment into client systems under time-limited, logged access; build read-only KPI feeds.
• Investment automations: CIM analysis; deal pipeline management and outreach; three-statement analysis, DCF/LBO model building and investment memo drafting for screened deals.
• Expansion: Keep the platform model-agnostic and take it from advisory to firm operations to portfolio companies.

Non-negotiable standards

• Security and containment for client-system connections and financial data.
• Information barriers enforced in code between business lines and data tiers.
• Agents never receive write access to client systems; human review at every milestone.
• Frontier models accessed through the gateway; no in-house model training.

• Hands-on experience building LLM agent systems: orchestration, tool use, multi-agent workflows.
• Retrieval-augmented generation (RAG) and data-pipeline design in production.
• Cloud security and identity & access management (IAM); audit logging and observability.
• Integrations via APIs and MCP; experience with the Microsoft enterprise stack.
• Ability to work independently as the sole engineer and own systems end to end., * Working knowledge of finance: CIMs, three-statement models, DCF/LBO, investment memos.
• Experience in regulated or confidential-data environments (financial services, advisory).
• Client-facing or forward-deployed engineering experience.

A newly established multi-strategy investment and advisory firm that acquires small and mid-sized businesses and runs an advisory practice, with a presence in Dubai and New York. The firm is building a proprietary, AI-enabled operating platform used across its advisory work, its own investment operations and, later, its portfolio companies. Firm name available to shortlisted candidates.