Staff Software Engineer (Tech Lead)
Lead the architecture and hands-on development of an AI-driven telehealth platform, integrating LLMs and distributed systems on GCP while guiding a small engineering team.
- Compensation
- Not disclosed
- Location
- United States - Remote
- Work setup
- Remote
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 8+ years of software engineering experience, with 2+ years leading projects or serving as a Tech Lead.
- Staff-level scope or equivalent technical impact.
- Strong LLM experience in production environments (hands-on required).
- ML background preferred, especially applied machine learning or AI infrastructure.
- 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. Preferred
- Experience hosting or integrating open-source models (e.g., vLLM, Ollama), with a strong understanding of RAG architectures.
- Background in regulated environments (HIPAA, SOC 2) or healthcare data standards (FHIR, HL7).
- Strong written and verbal communication skills, including writing RFCs and explaining technical strategy to non-technical stakeholders.
Full description
About OpenLoop
OpenLoop was co-founded by CEO, Dr. Jon Lensing, and COO, Christian Williams, with the vision to bring care anywhere. Our telehealth support solutions are thoughtfully designed to streamline and simplify go-to-market care delivery for companies offering meaningful virtual support to patients across an expansive array of specialties, in all 50 states.
About the Role
We are looking for an Technical Lead to own the architecture, execution, and evolution of our AI-driven platform. This is a senior, hands-on leadership role for someone who has built real systems with LLMs and understands how to take AI from prototype to production at scale.
This is not a pure management role. You’ll operate as a player-coach, writing production code, setting technical direction, and guiding a small, senior engineering team.
What You'll Do
- Own System Architecture: Design and evolve distributed systems on GCP (Cloud Run, Pub/Sub, BigQuery), making final decisions on service boundaries, data models, and technology trade-offs across Go, Python, and TypeScript.
- AI & LLM Strategy: Lead hands-on integration of AI systems, including open-source LLMs, embeddings, and speech models. Define prompt optimization, evaluation strategies, and safety practices using tools like LangFuse.
- Operational Excellence: Champion observability, reliability, and scale. Oversee event-driven ingestion and automated QA pipelines for call transcripts and healthcare data (FHIR / Medplum).
- Delivery & Execution: Contribute code to critical paths while leading major technical initiatives. Identify gaps, unblock teams, and drive projects to completion.
- Cross-Functional Leadership: Translate complex technical constraints into clear options and trade-offs for Product, Design, and Clinical Operations.
Who You Are
- 8+ years of software engineering experience, with 2+ years leading projects or serving as a Tech Lead.
- Staff-level scope or equivalent technical impact.
- Strong LLM experience in production environments (hands-on required).
- ML background preferred, especially applied machine learning or AI infrastructure.
- Expert-level proficiency in Go, Python, or TypeScript/Node, with the ability to review code across the stack.
- Deep experience with , containerized deployments (Docker, Kubernetes, Cloud Run), and event-driven architectures.