Job 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 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. WHY YOU'LL LOVE IT: - High Ownership: Architect and lead AI systems that directly impact real users. - Senior, Agile Team: Small group that ships fast, tests in production, and learns from failure. - Flexible Bay Area Hybrid: In-person collaboration without rigid rules. - Great Tools & Comp: M-series Macs, Linear, GitHub, GCP, competitive compensation, equity, and real perks. - Career Growth: Opportunity to grow into an Engineering Manager role over time, if desired. OUR BENEFITS In addition, for salaried positions you would also be eligible for: - Medical, Dental, and Vision plans - Flexible Spending/Health Savings Accounts - Flexible PTO - 401(k) + Company Match - Life Insurance, Pet insurance, and more OUR COMPANY We have a relatively flat organizational structure here at OpenLoop. Everyone is encouraged to bring ideas to the table and make things happen. This fits in well with our core values of Autonomy, Competence and Belonging, as we want everyone to feel empowered and supported to do their best work. Sound like a good fit? We’d love to meet you.

Requirements

Must-haves

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.
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.
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).
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.
High Ownership: Architect and lead AI systems that directly impact real users.
Senior, Agile Team: Small group that ships fast, tests in production, and learns from failure.
Flexible Bay Area Hybrid: In-person collaboration without rigid rules.
Great Tools & Comp: M-series Macs, Linear, GitHub, GCP, competitive compensation, equity, and real perks.
Career Growth: Opportunity to grow into an Engineering Manager role over time, if desired.
Sound like a good fit? We’d love to meet you.

Nice-to-haves

ML background preferred, especially applied machine learning or AI infrastructure.
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.

Application prep

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Keywords to mirror

goaigcppythontypescriptllmmlmachine learningdockerkubernetesagile

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto