Tech Lead

Title: Tech Lead (Solutions Architect + Applied AI Lead) — Digital Twin & Clinical AI — Remote (Contractor)
Location: Remote - Offshore-friendly (preference for regions with overlapping Americas/Europe hours - Philippines, Vietnam, Indonesia, Latin America (Mexico, Colombia, Brazil), Eastern Europe (Poland, Ukraine, Romania, Bulgaria, Belarus), Africa (Kenya, South Africa, Nigeria, Ethiopia, Ghana, Egypt) if English is strong.)
Base fee: USD $1500 - $2,500 / MONTH + Performance Incentive (paid via Wise or bank direct deposit)
Employment type: Contractor (full-time retainer)
Company: Shae Group
Website:

Who We Are
We build precision-personalized AI (digital twin, clinical AI assistant) to improve health and wellbeing for health and medical practitioners and their patients. Our platform demands secure, scalable, multi-tenant, white-label architecture with strong observability, privacy and guardrails.

Who You Are
You are a senior tech lead/solutions architect who ships cloud products and production LLM/agent features. You design multi-tenant architectures, secure data pipelines from devices, set SLOs/observability, and apply safety/evals/guardrails to LLM features. You mentor engineers and improve platform reliability. You have exceptional attention to detail and prefer working independently focusing on objectives.

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.
• Managed Azure cloud services (incl. serverless), vector DBs/feature stores, MLOps stack, CI/CD, secrets, IaC.
• Establish SLIs/SLOs, error budgets, alerting, runbooks, postmortems; lead capacity & cost modeling.

Applied AI/ML

• Translate product and clinical use cases into model-enabled features (RAG, agents, multimodal, time-series on wearables).
• Own LLM safety, evals, red-teaming, prompt/model versioning, offline/online A/B tests; define offline metrics online KPIs.
• Build pipelines for data labeling, weak supervision, retrieval quality, and continuous improvement.

Data, Privacy & Security

• Define PII/PHI data handling, consent, lineage, retention, and cross-border controls; implement privacy-by-design.
• Approve integrations with wearables, EHR/LIS, payments; ensure encryption, key mgmt, and DLP.

Delivery & Tech Leadership

• Lead technical roadmap, spike plans, ADRs, and trade-off decisions; manage tech debt intentionally.
• Mentor engineers; raise code quality (pairing, design reviews, testing strategy) and empower autonomy.

Stakeholders & External

• Partner with Product/Clinical/Sales; run build–buy–partner analyses; manage vendors; support pre-sales.

Requirements

Minimum experience

• 4+ years building with Typescript (specifically NextJS and Fastify) 
• 4+ years building with Python and FAST API 
• 5+ projects utilising Azure PostgreSQL Managed Database, Qdrant Database and Cosmos Databases
• 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 $1500 - $2,500 per month (adjustable by seniority and scope).
Performance Incentive: Annual bonus for consistent KPI over-performance

Payment & contractor terms
Independent Contractor status only. Payment in USD via Wise or bank direct deposit. Monthly retainer invoicing.

How to apply
 
• Share two architecture diagrams and a 1–2 page ADR from past work plus a short Loom explaining an LLM feature you hardened for production.

• Self-schedule an 16-minute prescreen AI one-way video interview

• Complete a 3rd-party personality profile

• If shortlisted, a relevant test task will be assigned

• If successful, hiring manager interview within 24–48 hours — offers same day for top candidates

• Rapid interviews and fast engagement for top candidates

Closing note
This is a senior role for engineers who design safe, scalable applied-AI platforms — strong architecture artifacts required.