Role description
intely.ioAI-Native Platform Engineer — Intely
Remote | Full-Time or High-Commitment Contract
Intely is a healthcare interoperability infrastructure platform. We help healthcare organizations integrate systems, migrate legacy EHR data, archive clinical records, and build intelligent data pipelines. Our platform is built around predefined EMR interfaces and a managed implementation model that makes healthcare integration faster and more repeatable than traditional approaches.
We are not a typical SaaS company. We build data infrastructure that sits at the center of how healthcare organizations move, transform, and access clinical information.
THE ROLE
We're hiring an AI-accelerated platform engineer to build and scale core healthcare infrastructure. This is not a ticket-based development role. You'll design and ship production systems, work directly with executive leadership, and operate with high autonomy.
You are expected to use AI development tools as core infrastructure in your workflow. The expectation is that AI compresses your iteration cycles from weeks to hours.
We're hiring for platform engineering capability, not a specific stack.
WHAT YOU'LL BUILD
• Healthcare integration engines handling HL7 v2, FHIR R4, REST/JSON, SFTP, and device-to-cloud telemetry
• Pre-built EMR connector library — predefined interfaces that deploy rapidly across new customers and EHR systems
• Multi-EMR data aggregation pipelines for organizations running multiple EHR systems
• Automated data extraction, transformation, and validation pipelines for EHR migration
• Compliance-ready archival systems with FHIR-based retrieval
• Medical device interoperability infrastructure
• AI agents for intelligent transformation, routing, and anomaly detection
• Internal tooling: demo environments, deployment frameworks, and implementation templates
WHAT WE'RE LOOKING FOR
Platform & Systems Thinking
• Distributed systems, Kubernetes, cloud-native architecture on AWS
• API design at scale: versioning, rate limiting, idempotency
• ETL/ELT pipeline design with validation and error recovery
AI-Native Development
• Daily use of AI coding tools for generation, refactoring, debugging, testing, and documentation
• Clear personal quality gate — you know when to accept, override, or reject AI output
• Experience building AI agents or integrating LLM APIs is a strong plus
Healthcare Domain (Preferred, Not Required)
• HL7 v2, FHIR R4, TEFCA, healthcare API patterns
• Real-world EHR integration (Epic, Cerner, MEDITECH, Allscripts) or medical device connectivity
• If you don't have healthcare experience but can learn HL7 segment semantics in two weeks with AI tools, we want to talk to you.
Security & Compliance
• HIPAA safeguards built into architecture by default
• Audit logging, access control (RBAC/ABAC), tenant isolation
TECH ENVIRONMENT
Modern cloud-native stack on AWS. We're not hiring for specific tools or frameworks — we're hiring engineers who move across stacks fast.
HOW WE WORK
• Remote-first, async collaboration with executive leadership and core engineering
• High autonomy — you operate from intent, not detailed specs
• Direct access to architectural decisions and product direction
• Compensation reflects output and quality, not hours
HOW TO APPLY
DM me directly here on LinkedIn with your resume and a link to your GitHub, portfolio, or any project that shows how you build. You can also reach me at badar@intely.io.
Answer one question in your message:
"Describe the last complex system you built. Where did you use AI tools to accelerate delivery, and where did you deliberately override or reject what the AI produced?"
If your answer is specific and shows real judgment, you'll hear from me.
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