Tech Lead (Solutions Architect + Applied AI Lead) - Digital Twin & Clinical Ai
Компания: Shae Group
Город , Lviv,
Зарплата:
Размещено: 2026-01-18 10:36:38
Описание
Lead architecture for digital twin + clinical AI platforms — senior applied AI technical leadership role
Title: TECH LEAD (Solutions Architect + Applied AI 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 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.
Role purpose. Own end-to-end technical direction for the company’s AI-first products (Digital Twin, CLIA, wellness apps), spanning architecture, model lifecycle, data, security, reliability, and team technical excellence.
Core outcomes
Reliable, scalable production platforms (99.9%+ target SLOs) with cost-aware infra & observability.
Measurable AI/ML impact (e.g., model-enabled features that improve wellness outcomes, UX metrics, and conversion).
Responsible-AI guardrails in production (safety, bias, privacy, auditability) and compliant data flows.
Key responsibilities:
Architecture & Platform
Design multi-tenant, API-first, white-label architecture (B2B2C), event-driven integrations, and data mesh/warehouse patterns.
4+ years building prompt engineered pipelines using LangChain, ai orchestration tools, and AI LLMs including Gemini, Claude, GPTs and Grok.
At least 2+ projects involving Azure Container Apps, Azure Functions
Minimum qualifications
8–12+ years building cloud products; 3+ as Tech Lead/Architect; production experience with LLMs/agents.
Strong systems design, data platforms, API design, and security fundamentals.
Nice-to-have
Healthcare/wellness, regulated data (HIPAA/GDPR), on-device ML, voice agents, Xano/FlutterFlow ecosystems.
KPIs
Availability vs SLOs; time-to-restore; infra $/MAU; model quality lift; latency/p95; roadmap velocity; audit findings = 0 criticals.
Benefits
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 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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