Build and own core backend infrastructure for long-running agentic AI workflows, ensuring high reliability, observability, disaster recovery, secure execution sandboxes, HIPAA-compliant data handling, and production-grade IAM and secrets management.
Mission
About The Role
What You’ll Do
What You’ll Bring
Bonus Experience
What We Offer
If you ask a hospital today how much a treatment will cost, the answer is usually: “We don’t know.”
Not because providers don’t want to tell you but because patient cost is computed across insurance plans, negotiated rates, and billing rules that are fragmented, opaque, and not designed for real-time transparency.
What should be a simple question requires navigating a web of systems that don’t talk to each other.
So humans do that work instead.
They log into portals, call payers, follow decision trees, and manually stitch together answers across disconnected systems. Even when providers want to give a clear answer, the system makes it nearly impossible.
At Bravebird, we’re changing that.
We’re building agents that do the work between systems - end to end.
We believe the future of work is machines talking to machines, handling fragmented, system-to-system workflows so humans can focus on decisions, judgment, and care.
We’re building agentic AI systems that can reason, act, and operate reliably in messy, real-world environments - across chat, voice, and full computer-use interfaces.
As a Software Engineer (Applied AI Infra), you will build the backbone that makes our agents reliable, scalable, and production-ready.
This is a deeply technical, high-ownership role. You’ll work directly with founders, shape the technical direction, and ship systems that are used in real-world, high-stakes environments.
- Design and build core backend systems capable of supporting long-running agentic workflows with high correctness and uptime.
- Establish the observability, disaster recovery, and automated testing frameworks necessary to maintain mission-critical reliability for agents operating in high-stakes environments.
- Build scalable and secure execution sandboxes that allow for rapid agent iteration while ensuring model reasoning remains grounded, private, and audit-ready
- Own infrastructure security and data integrity by architecting a "zero-leak," HIPAA-compliant environment with robust IAM, secrets rotation, and strict data residency.
- 5+ years of software engineering experience with a track record of shipping production systems that people rely on.
- Deep expertise in architecting for reliability and performance. You understand how to manage state and consistency in the non-deterministic world of agentic workflows.
- Deep knowledge of networking, IAM, and data encryption.
- Proven experience building or auditing systems for HIPAA, SOC2, or similar regulated environments.
- Experience with Terraform, Kubernetes, or orchestration frameworks (such as Temporal)
- High ownership and impact
- Competitive compensation with meaningful equity
- Direct access to founders and customers
- The opportunity to ship production systems in high-stakes environments
We’re based in San Francisco and prefer working in person, but are flexible for exceptional remote candidates. Visa sponsorship available.
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Build AI-powered workflows, agents, integrations, and internal tools that automate People Operations. Partner with People, Engineering, and IT to modernize onboarding and other employee processes, while implementing secure access controls, human oversight, escalation paths, and production-ready architectures. Prototype with users, iterate quickly, and measure improvements in efficiency, employee experience, and operational consistency.
Top Skills:
AIAi AgentsAPIsHrisInternal ToolsSlackWorkflow Automation
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads healthcare regulatory initiatives, compliance projects, audits, and stakeholder consultations. Interprets CMS, DMHC, DHCS, NCQA, and related requirements; coordinates responses to regulators; assesses risks; develops executive reporting; and drives process improvements across clinical and operational functions. Requires extensive healthcare regulatory or compliance experience, managed care knowledge, cross-functional project leadership, strong analytical and communication skills, and the ability to influence stakeholders in a changing environment.
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Provides operational support to Udemy Business customers by managing licenses, configurations, learning paths, catalog recommendations, reporting, support requests, and platform adoption activities. The role serves as a knowledgeable partner to customer administrators, facilitates training and webinars, coordinates requests across accounts, identifies improvement opportunities, and escalates issues to appropriate internal teams.
Top Skills:
Udemy Business Platform
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
