Principal AI Engineer

Job not on LinkedIn

🕒 2 days ago

🌐 United States, Poland – Remote

🇺🇸 United States – Remote 🇵🇱 Poland – Remote

💵 $150k - $200k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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DrFirst, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 Private Equity Round on 2024-01

Healthcare • SaaS • B2B

DrFirst is a healthcare technology company that provides medication management solutions focusing on electronic prescribing, electronic prior authorization (ePA), medication history, prescription engagement, population health management, prescription renewals, price transparency, prescription orchestration, specialty medications support, and business continuity for EHRs. Their products include E-Prescribing, EPCS (electronic prescribing for controlled substances), Backline secure messaging, and tools for streamlining prior authorizations and medication access. DrFirst serves hospitals & health systems, EHR & HIT vendors, private practices, pharmaceutical companies, and payers. The company emphasizes integration with clinical workflows, patient engagement to improve adherence, and leveraging a large medication management network in the U. S. ; they also provide system migration services and AI-assisted data transitions.

📋 Description

• Architect and build production AI automation systems from discovery to deployment • Work directly with department leaders to map workflows and ship tools that augment their work • Own technical implementation of department sprints • Design and build Python/FastAPI backends connecting to enterprise APIs • Build Next.js/React frontends with Okta SSO, role-based access control, and audit trails • Design multi-agent coordination systems, skill discovery hubs, agent registries, and workflow orchestration • Navigate Zscaler proxies, VPNs, SSL certificates, Kubernetes pod networking, DynamoDB, and AWS Bedrock • Write Playwright end-to-end tests and maintain a 1000+ test suite with visual regression baselines • Deploy through GitLab CI/CD to AWS EKS using Kubernetes, ArgoCD, Helm, and Secrets Manager • Debug event loop blocking, convert synchronous I/O to async, and optimize CPU-bound operations • Partner with the CISO on PII/PHI de-identification, least privilege, and per-user OAuth2 • Debug authentication flows, token expiration, API rate limits, and health check failures • Ship 3-5 production tools in parallel within each sprint, deploying multiple times per day • Guide 2-3 engineers through code reviews and pairing, without direct reports or performance reviews • Teach department leaders to use AI tools effectively and translate technical concepts for executives • Run discovery sessions with department VPs and map stakeholder workflows • Remove blockers, coordinate across departments, document patterns, and write playbooks • Attend morning syncs with the VP of AI Automation on build queue, blockers, and technical decisions • Coordinate with 15+ stakeholders, conduct security reviews with the CISO, and debug production issues

🎯 Requirements

• 8+ years building production systems end-to-end (backend, frontend, integrations, infrastructure) • Staff/Principal Engineer or Tech Lead experience, owning technical decisions on production systems • Shipped SaaS products with OAuth2, multi-tenancy, audit trails, and enterprise compliance • Deep AI/ML experience: production systems using LLM APIs (OpenAI, Anthropic, AWS Bedrock) and agent frameworks • Production Python: FastAPI, Pydantic, httpx, pytest (1000+ test suite experience) • Production TypeScript/React: Next.js App Router, server components, Okta/NextAuth SSO, Playwright testing • AWS and Kubernetes: EKS operations, GitLab CI/CD, ArgoCD, Helm, Secrets Manager • Enterprise security patterns: Zscaler proxies, SSL certificates, Kubernetes networking, JWKS verification • Healthcare or regulated industry experience (HIPAA, SOC 2, or similar frameworks) • Strong communication skills for discovery sessions, explaining security trade-offs to executives, and writing architecture documents • Servant leadership mindset and ability to remove blockers and teach through questions • Ability to thrive with 15 stakeholders, 6 systems, and 3 sprints in flight • Bias toward shipping and highly collaborative approach • Active, daily use of AI engineering tools such as Claude Code, GitHub Copilot, Cursor, Windsurf, Cline, or similar (hard requirement) • Experience with Claude (Anthropic) is highly valued • At least one automation built that eliminated hours of manual work, ideally using LLM APIs • Comfort teaching others to use AI tools through pairing and code review • Primarily desk-based work, approximately 90-95% of the time, at a computer workstation • Occasional travel, less than 5-10% of the time

🏖️ Benefits

• Eligible for Company Performance-based Bonus Program, based on individual and company performance • Medical, dental, and vision insurance • 401K eligible after 3 months of employment, with 50% company match up to first 5% of salary contributed to the plan with a 3-year vesting schedule • HSA for eligible employees enrolled in the HDHP, with a generous company contribution up to $500 for individual coverage and $1000 for family coverage per year • 100% company paid short and long-term disability, AD&D, and group life insurance • Accrued annual paid time off (PTO) of 18 days for the first 3 years of service, increasing thereafter • 7 paid holiday days • Employee Assistance Program • Continuing Education funds up to $1500 annually for eligible programs after 1 year of service • Voluntary benefits including FSA, Hospital indemnity, Accident and Critical Illness insurances • Remote-First company with a dynamic and flexible workplace

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