Shae Group

    Tech Lead (Platform Architect + Applied AI Engineer)- Digital Twin & Clinical Ai

    Shae Group
    Posted 11/29/2025Lead/Manager
    New! 🎉
    Contract
    Technology
    Cloud Platforms
    Applied AI
    Architecture
    Multi-Tenant Systems
    Data Pipelines

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    Job Description

    Lead architecture for digital twin + clinical AI platforms — senior applied AI technical leadership role Title: Tech Lead (Platform Architect + Applied AI Engineering Lead) — Digital Twin & Clinical AI — Remote (Contractor) Location: Remote — Offshore-friendly. Ideal overlap with Americas/Europe time zones. Preferred regions include: Philippines, Vietnam, Indonesia, Latin America (Mexico, Colombia, Brazil), Eastern Europe (Poland, Ukraine, Romania, Bulgaria, Belarus), and Africa (Kenya, South Africa, Nigeria, Ethiopia, Ghana, Egypt), with strong English proficiency. Base fee: Full Time Retainer USD $1,500–$2,500 / MONTH + Performance Incentive (Contractor — paid via Wise or bank direct deposit) Employment type: Contractor (full-time) Company: Shae Group Website: https://shae.group

    Who We Are Shae Group develops precision-adaptive AI systems, including digital twins and clinical AI assistants, designed to elevate wellbeing and improve clinical decision-making. Our technology stack requires secure, scalable, multi-tenant infrastructure with white-label capabilities, strong privacy controls, rigorous observability, and safety-first engineering principles. Who You Are You are a senior-level architect and technical leader who has delivered cloud platforms and production-grade LLM/agent-based capabilities. You excel at designing multi-tenant architectures, secure ingestion and data pipelines, observability frameworks, and safety/guardrail systems for LLM-driven features. You guide engineers, strengthen reliability, and work autonomously with a high attention to detail. Responsibilities

    • Lead architectural vision across multi-tenant, white-label, observable platform infrastructure using IaC, SLO management, and reliability frameworks.
    • Translate LLM/agent innovations into user-facing features, including RAG pipelines, intelligent agents, eval systems, caching strategies, and guardrails.
    • Architect compliant, secure data flows (wearables → pipelines → insights) with privacy-by-design and audit-readiness.
    • Coach engineering teams, write ADRs, produce architectural diagrams, and support production hardening.
    • Must-have qualifications
    • 8+ years building cloud-based products, with 3+ years in Tech Lead/Architect roles delivering LLM/agent systems in production environments.
    • Strong background in system design, API architectures, MLOps/CI-CD pipelines, security foundations, and observability practices.
    • Ability to provide architectural artifacts (diagrams, ADRs) and demonstrate experience implementing safety and hardening measures for LLM features.

    Nice-to-have

    • Experience in healthtech, regulated data systems, voice interfaces, or vector database technologies.
    • Familiarity with digital twin frameworks or clinical AI workflows.
    • Compensation & performance bonuses
    • Retainer: USD $1,500–$2,500 per month (depends on seniority and scope).
    • Performance incentive: Annual bonus awarded for consistent KPI over-performance.
    • Payment & contractor terms
    • Independent Contractor role. USD payments via Wise or bank deposit. Monthly retainer invoice schedule. Paid time off for exceptional performance.

    How to apply

    • Submit two architecture diagrams + a 1–2 page ADR from previous work, and include a Loom walkthrough explaining an LLM feature you hardened for production.
    • Self-schedule a 16-minute prescreen one-way AI video interview.
    • Complete a 3rd-party personality assessment.
    • If shortlisted, a relevant technical assignment will follow.
    • If successful, hiring manager interview within 24–48 hours — rapid offers for outstanding candidates.
    • Fast interview pipeline for top-tier applicants.

    Closing note

    • This role is for senior engineers who build secure, scalable applied-AI systems. Strong architectural artifacts and real production experience are essential.

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