ShareCare - AI Engineer
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Older posting · still listed ·
- Work arrangement
- remote
- Employment
- FullTime
- Stated compensation
- USD 70,000–110,000 1 YEAR
- Stated sponsorship
- Not stated
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 70,000–110,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
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Original job description
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Sharecare is the leading digital health company that helps people – no matter where they are in their health journey – unify and manage all their health in one place. Our comprehensive and data-driven virtual health platform is designed to help people, providers, employers, health plans, government organizations, and communities optimize individual and population-wide well-being by driving positive behavior change. Driven by our philosophy that we are all together better, at Sharecare, we are committed to supporting each individual through the lens of their personal health and making high-quality care more accessible and affordable for everyone. To learn more, visit www.sharecare.com.
About the role
As the AI Engineer, you will play a critical role across vision, strategy, operations, and execution for defining and driving the transformation of Sharecare into the era of agentic engineering.
We are looking for engineers who can take a big problem domain we hand to them, disappear into it, and they come back with it working, documented, and theirs. We don’t need to check their work or meddle, because checking isn’t unnecessary. The people who have struggled here waited for scoped tickets to tell them what to do, but that’s what we have agents for.
Requirements
Demonstrate you can ship daily at high volume with a fleet of AI agents. In the interview we'll ask to see your actual setup and what you let it do unsupervised. "I use Copilot sometimes" is not this.
You've owned architecture across multiple companies or many codebases: staff-plus IC, chief-architect, or platform-consulting background. You've seen a dozen ways teams ship and you have opinions with scars behind them.
When handed an ambiguous, ugly, load-bearing problem, your instinct is to take it whole: read everything, decide, build, write the doc, tell us what you decided. Not to schedule a meeting about scope.
Prior experience working in healthcare and/or clinical research, on health data products including electronic health records, claims, wearables, etc. and/or remote patient monitoring technologies is a plus.
You communicate proactively in writing. For example: a Sunday text that says "took care of it, here's the PR and what I changed."
6+ years and multiple systems owned end to end.
Responsibilities
The Factory spine. Develop and improve our existing factory to maximize and align in the era of agentic engineering. Increase our throughput by 50% while maintaining a lean team. Your job is to evolve our factory platform: Merge gates, migration safety, canary and rollback on a system where a bad deploy can touch patient care.
The application work spine. The layer that lets AI agents and humans act on patient care with auditability and fail-closed checks. You’ll own the guardrails that ensure agents can safely provide broader components of care.
The data and metrics. Warehouse, analytics platform, and the pipelines that tell us what happened.
Architecture syncs with me. You'll have the standing I give someone who has seen more systems than I have: disagree with me, make the call in your domain, unpack it for the team when asked.
Sharecare, Inc. and its subsidiaries are Equal Opportunity Employers and E-Verify users. Qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, sexual orientation, gender identity, religion, age, equal pay, disability, genetic information, protected veteran status, or other status protected under applicable law.
Selection Process
Recruiter Screen
Live Coding Interview
Client Screening Interview
Client Technical Interview
Client Behavioral Interview
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