--- title: 'Software Engineer, Applied AI Infra at Bravebird' canonical: 'https://feeny.ai/job/software-engineer-applied-ai-infra-bravebird-san-francisco-xt88wa1vx6jb' type: 'job' last_seen: '2026-09-09' --- # Software Engineer, Applied AI Infra at Bravebird - **Company:** Bravebird - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-12-24 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.gem.com/bravebird-ai/am9icG9zdDoJvN9CKZgv2OhADrj7RqvE ## Job description Mission 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. ## About The Role 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. ## What You’ll Do - 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. ## What You’ll Bring - 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. Bonus Experience - Experience with Terraform, Kubernetes, or orchestration frameworks (such as Temporal) ## What We Offer - 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. ## About Bravebird ## Company Overview - **One-liner**: Bravebird automates healthcare eligibility and benefit verification using agentic AI to retrieve real-time patient insurance information directly from payer portals, eliminating manual guesswork for providers. - **Entity Type**: Private (Series A stage) - **Headquarters**: San Francisco, California, USA - **Founded**: 2024 - **Founders**: Not publicly disclosed ## Core Business - Primary industry/industries: Healthcare IT, Healthtech, AI Automation - Target customers: B2B; dental and medical practice management groups, healthcare providers, clinics - Mission or purpose statement: "The end of patient cost guesswork" — replace fragmented, manual workflows between disparate systems with reliable AI agents, allowing healthcare providers to focus more on patient care. ## Products & Services - **Portal AI**: Extracts full benefits from payer portals by logging in like a staff member, clearing captchas and multi-step authentication, reading benefit tables, history, and frequencies. - **Voice AI**: Calls payers when portals cannot answer, navigates IVRs, waits on hold, and returns structured data. - **Cost Estimator**: Checks every procedure code against patient history, age limits, and frequency to determine what is actually covered and provides exact patient cost basis before the visit. - **Wren (AI Assistant)**: An internal benefits expert built on verified patient data that answers questions about coverage, cost, history, or frequency in seconds. ## Market Standing - **Valuation/Funding**: Not disclosed (running funding rounds as a growth-stage startup) - **Key Metric**: Early-stage with a live product; the company is hiring across engineering roles, indicating fast growth. - **Notable Investors/Partners**: Not publicly disclosed - **Growth Signals**: - Open roles posted for Founding ML Engineer, Applied AI Infra, and Browser Automation - Expanding presence in both San Francisco (US) and Bengaluru (India) - Differentiating against EDI-based tools and outsourced verifiers with per-verification pricing model ## Competitive Advantages - **No caching, no aggregation**: Each patient's actual plan, per procedure, is re-verified before every visit on the lead time the provider chooses. - **HIPAA-compliant, BAA-backed**: PHI minimization enforced, all data encrypted AES-256 at rest / TLS in transit, patient data never used to train models. - **100% payer portal coverage**: Works with every payer portal the provider has logins for, and helps set up logins for the rest. - **Voice AI capability**: Covers payers with no portal — including Medicaid, regional plans, and carriers without a portal — where most competitors stop. ## Strategic Focus - Build AI agents that fully replace human-administered eligibility verification workflows. - Scale reliability for long-running concurrent browser automation workflows across thousands of payer portals and phone interactions. - Expand from dental to broader medical insurance verification use cases. ## Why Work Here - **Culture**: Early-stage AI startup with high autonomy and impact — engineers work directly with founders and customers. - **Location**: Hybrid/remote-friendly; offices in San Francisco, CA (USA) and Bengaluru, India. - **Engineering Focus**: Technical challenges span agentic AI reasoning, browser stealth automation, HIPAA-secure infrastructure, and multimodal (chat, voice, UI) agent coordination. - **Opportunity**: Foundational-level roles with ownership over critical infrastructure (AI reasoning pipelines, sandboxed execution, browser automation engines). - **Perks**: Not detailed publicly, but typical of early-stage healthtech AI startups: equity, flexible hours, and the chance to shape product and architecture from day one. ## Sources 1. [bravebird.ai](https://bravebird.ai/) 2. [Gem Careers (bravebird.ai careers page)](https://jobs.gem.com/bravebird-ai) 3. [Built In - Bravebird AI Company Profile](https://builtin.com/company/bravebird-ai) 4. [Built In - Bravebird AI Jobs](https://builtin.com/company/bravebird-ai/jobs) 5. [RemoteFront - Bravebird open roles](https://www.remotefront.com/companies/bravebird) ## Other roles at Bravebird - [Software Engineer, Browser Automation](https://feeny.ai/job/software-engineer-browser-automation-bravebird-san-francisco-35r9pyrxw45r) — San Francisco, CA - [Software Engineer, Applied ML](https://feeny.ai/job/software-engineer-applied-ml-bravebird-san-francisco-cjtjpzwact8f) — San Francisco, CA