Staff Software Engineer

About the role

Staff Software Engineer at Openloop Health. The posting lists United States

Remote. 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. On the team you would 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.

Key facts

What you'll do

• 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.
• You will 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.

Requirements

• You need Who You Are.
• + years of software engineering experience, with 2+ years leading projects or serving as a Tech Lead.
• You need Staff-level scope or equivalent technical impact.
• You need 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.
• You need Preferred.

Nice to have

• 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.
• It helps if 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.

• It helps if 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.

Skills & tools

You will use python. You will use typescript. You will use kubernetes. You will use go. You will use node.

Practical notes

Note: 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.