OpenLoop is a telehealth support solutions company focused on streamlining care delivery. They are seeking a Technical Lead to design and evolve operational systems that integrate AI and support workflows across the organization.
Responsibilities:
- Own Operational Systems Architecture: Design and evolve distributed systems on GCP (Cloud Run, Pub/Sub, BigQuery) that support scheduling, task assignment, and operational workflows. Make final decisions on service boundaries, schemas, and technology trade-offs across Go, Python, and TypeScript
- AI-Powered Operations: Lead integration of AI into operational workflows using open-source LLMs, embeddings, and speech models. Define prompt strategies, evaluations, and safeguards (e.g., LangFuse) to ensure AI systems are reliable and usable by operations teams
- Human-in-the-Loop Workflows: Build and improve systems that coordinate AI decisions with human execution—assigning work, routing tasks, and handling exceptions at scale
- Operational Excellence: Champion observability, reliability, and data quality. Oversee event-driven ingestion and automated QA for call transcripts and healthcare data (FHIR / Medplum)
- Player-Coach Execution: Contribute code to critical paths while leading technical initiatives. Identify gaps, unblock teams, and ensure projects ship end-to-end
- Cross-Functional Alignment: Partner deeply with Operations, Product, Design, and Clinical Ops to translate operational constraints into clear technical solutions and trade-offs
Requirements:
- 8+ years of software engineering experience, with 2+ years leading projects or acting as a Tech Lead
- Staff-level scope or equivalent technical impact
- Strong experience building operational products involving scheduling, task assignment, routing, or workforce coordination (e.g., DoorDash, Uber, logistics, marketplaces)
- Hands-on experience working with AI systems in production environments
- Expert-level proficiency in Go, Python, or TypeScript/Node, with the ability to review code across the stack
- Deep experience with distributed systems, containerized deployments (Docker, Kubernetes, Cloud Run), and event-driven architectures
- AI / LLM Fluency: Experience hosting or integrating open-source models (vLLM, Ollama) and understanding modern RAG architectures
- Healthcare & Compliance: Prior experience in regulated environments (HIPAA, SOC 2) or healthcare data standards (FHIR, HL7)
- Strong Communicator: Able to write clear RFCs and explain technical decisions to non-technical operations stakeholders