Confidential Client: Software Engineer / AI Engineer
Confidential Client is seeking a hands-on Software Engineer / AI Engineer with 4-6 years of experience to develop and deploy AI-driven software solutions in a fast-paced startup environment. The role requires ownership of features from development through production, close collaboration with the CEO and clinical/product teams, and practical engineering decision-making to deliver timely, working products.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Hospitals and Health Care.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential client (a healthcare-focused startup) is seeking a hands-on Software Engineer / AI Engineer to own features end-to-end: design, implement, test, and deploy AI/LLM-enabled systems into production. This is a practical engineering role — not research-only — ideal for engineers who have shipped backend services, APIs, and AI-powered features in fast-paced environments.
What You’ll Do
- Take ownership of features from problem definition through production deployment
- Build and maintain backend systems and APIs that power AI/LLM applications
- Integrate and deploy LLM-based services into secure, scalable pipelines
- Troubleshoot, debug, and optimize production systems
- Collaborate directly with the CEO and clinical/product teams to turn clinical needs into working features
- Make practical engineering trade-offs to deliver value quickly while maintaining quality
Minimum Qualifications
- 4–6 years of professional software or AI engineering experience
- Proven experience shipping backend services and APIs into production
- Hands-on experience with AI/LLM applications, model integration, or model-serving pipelines
- Strong debugging and problem-solving skills (you can take an issue from triage to fix)
- Experience working in fast-paced startup environments or similarly dynamic teams
- Comfortable making engineering decisions with limited direction and changing priorities
Nice to Have
- Prior healthcare or clinical-product experience
- Experience with cloud deployments (AWS, GCP, or Azure) and CI/CD for ML/AI systems
- Familiarity with container orchestration (e.g., Kubernetes) or model-serving frameworks
- Background working cross-functionally with product and leadership teams
Location & Eligibility
- Location requirement: United States only — applicants located outside the United States will not be considered.
- This role involves close collaboration with clinical stakeholders and senior leadership at the confidential client.
Employment Details
- Seniority: Entry level (as listed on the source posting) — note the role requires 4–6 years of experience per the job description
- Employment type: Volunteer (as listed on the source posting)
- This is a hands-on, delivery-focused engineering position (not research-only or ticket-based)
What We Value
- Ownership: you see features through to working production code
- Pragmatism: you balance speed and correctness to produce meaningful outcomes
- Collaboration: you communicate clearly with product, clinical, and executive stakeholders
- Impact: you want to build systems that improve clinical workflows in healthcare
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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