AI Engineer: End-to-End Medical Device Integrations

Clinical Ink, Inc.; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Clinical Ink, Inc. is seeking an AI Engineer to join the Digital Health Technology team in the United States.

You will own the production integration of connected devices, building mobile SDK and vendor API integrations, ingestion pipelines, and a data model to turn raw streams into digital biomarkers and clinical endpoints. You will implement ISO 13485-aligned design-control principles, accelerate device integration with AI-DLC, and collaborate with Engineering, Quality, Data, and Operations to

Qualifications

• Bachelor's degree in information systems, computer science, engineering, or a related field or equivalent experience.
• 5+ years of software engineering experience shipping production systems (APIs, data pipelines, or platform integrations) and comfort owning integration work end-to-end, from technical evaluation through design, build, testing, and release.
• Background in digital health, connected medical devices, clinical trials, or biomedical/health data preferred.
• Understanding of medical device or regulated-software quality practices (ISO 13485, GxP, 21 CFR Part 11, or similar) or strong eagerness to learn our compliance model preferred.
• Experience with containerization (Docker) and deploying on Kubernetes (Helm, EKS).
• Experience with relational databases (PostgreSQL, SQLAlchemy).
• Experience with CI/CD and GitOps-based deployment (GitLab CI, ArgoCD).
• Experience designing data models and working with cloud data infrastructure (AWS preferred), event-driven (SQS, Kafka, Azure Event Hub) and batch-based processing with idempotency and deduplication, and data warehouse integration.
• Experience integrating mobile SDKs and vendor/device APIs into production applications (native iOS/Android or cross-platform), including device pairing, Bluetooth, and REST/vendor device API connectivity patterns.
• Hands-on experience building or integrating LLM-based or agentic systems (RAG, tool-use/function calling, multi-agent orchestration); familiarity with GraphRAG or knowledge-graph patterns and AWS Bedrock/AgentCore is a plus.
• Experience working with streaming or time-series sensor/device data (value + timestamp patterns), including ingestion, normalization, and basic signal processing.

Responsibilities

• Design and build end-to-end technical integrations for new connected devices — mobile SDK and vendor API integrations, device adaptors, ingestion pipelines, and the APIs that align device data to our platform data model.
• Develop reusable, therapeutic-area-agnostic integration and event/alert patterns that replace one-off, hardcoded builds and shorten time-to-integration for the next device.
• Own technical design decisions under ISO 13485 design-control principles, carrying integrations through implementation, testing, and release. Apply and extend our AI-Driven Development Lifecycle (AI-DLC) to accelerate device integration, reference study builds, and automated validation, working closely with Engineering, Quality, Data, and Operations teams.
• Build and maintain the data pipeline infrastructure that turns raw device streams into validated digital biomarkers, dashboards, and clinical endpoints.
• Design pipeline patterns that generalize across our various platform environments and languages, rather than one-off, environment-specific solutions.

Job description

Clinical Ink, Inc. is seeking an AI Engineer to join the Digital Health Technology team in the United States.

You will own the production integration of connected devices, building mobile SDK and vendor API integrations, ingestion pipelines, and a data model to turn raw streams into digital biomarkers and clinical endpoints. You will implement ISO 13485-aligned design-control principles, accelerate device integration with AI-DLC, and collaborate with Engineering, Quality, Data, and Operations to