
1 - 10 employees
Founded 2018
🏭 Manufacturing
💼 Consulting
📦 Logistics
Manufacturing • Consulting • Logistics
Continuum Resource Network is an expert recruitment firm that connects talented candidates with leading employers, offering recruitment solutions and job placement services. The company emphasizes human-centered recruiting supported by AI, helping job seekers find opportunities and helping clients fill roles through relationship-driven talent sourcing.
🔥 4 minutes ago
AWS
Cloud
Docker
ETL
Google Cloud Platform
JavaScript
Next.js
Node.js
Postgres
PySpark
Python
React
Redis
TypeScript
Improve your chances of getting an interview by checking your resume score before you apply.

1 - 10 employees
Founded 2018
🏭 Manufacturing
💼 Consulting
📦 Logistics
Manufacturing • Consulting • Logistics
Continuum Resource Network is an expert recruitment firm that connects talented candidates with leading employers, offering recruitment solutions and job placement services. The company emphasizes human-centered recruiting supported by AI, helping job seekers find opportunities and helping clients fill roles through relationship-driven talent sourcing.
• Lead end-to-end technical delivery for enterprise healthcare client engagements, from pre-sales demonstrations and requirements gathering through solution design, integration, implementation, and post-launch support • Architect and deploy production-grade AI agent systems integrated with EHR/EMR platforms, claims systems, specialty pharmacy infrastructure, and CRMs • Facilitate technical working sessions and present solutions to C-suite executives and senior stakeholders • Make independent decisions about system design, technology selection, integration strategy, and technical problem-solving • Build reliable, scalable production applications and integrations using modern programming languages, cloud infrastructure, and AI technologies • Build data pipelines and ingestion systems processing structured and unstructured healthcare data while supporting machine learning workflows and privacy and security requirements • Translate deployment lessons into reusable components, platform improvements, and product capabilities • Own the technical quality, reliability, and business impact of multimillion-dollar enterprise engagements
• 5–15 years of software engineering experience • Strong background building and delivering production software systems • Experience owning full technical delivery for enterprise clients, including pre-sales support, requirements gathering, solution scoping, implementation, integration, and post-launch support • Experience building and deploying customer-facing software systems end-to-end through production engineering, solutions engineering, solutions architecture, or technical consulting • Healthcare or life sciences domain expertise, particularly in patient services, specialty pharmacy, pharmacovigilance, clinical operations, health insurance, or HIPAA-related compliance • Ability to design end-to-end system architectures and produce clear, comprehensive architecture diagrams • Strong client-facing communication and professional presence • Ability to lead technical sessions and present solutions to technical and non-technical stakeholders, including senior executives • Fluency in JavaScript, Node.js, TypeScript, Python, Next.js, and React • Experience building data and machine learning pipelines, including ETL/ELT workflows, document ingestion, unstructured data processing, PySpark, or predictive modeling • Experience deploying production applications and managing cloud infrastructure using AWS, GCP, or comparable platforms • Ability to work independently, navigate ambiguity, make decisions under pressure, and take accountability for complex client engagements • Existing authorization to work in the United States without requiring visa sponsorship or transfer • Bonus: Experience as a founding engineer, startup co-founder, startup CTO, or software engineer at a high-growth startup • Bonus: Experience building and deploying LLM-powered systems or AI agents, including prompt engineering, function calling, structured outputs, guardrails, and observability • Bonus: Formal machine learning or internal data science experience on healthcare-related projects • Bonus: Experience integrating AI systems with EHR/EMR platforms, claims infrastructure, specialty pharmacy systems, healthcare CRMs, or other enterprise healthcare applications • Bonus: Familiarity with HIPAA, healthcare data privacy, and security requirements • Bonus: Experience building scalable data infrastructure, ETL/ELT pipelines, and document-processing workflows • Bonus: Experience with PostgreSQL, Redis, WebSockets, vector stores, LLM orchestration, Docker, and CI/CD pipelines • Bonus: Familiarity with Claude Code and Gemini • Bonus: Experience presenting architecture decisions and technical recommendations to executive stakeholders
• Competitive equity opportunity • Work remotely within the United States, with a preference for Eastern or Central time zones • Quarterly team offsites • High-impact enterprise work building AI solutions for major healthcare organizations • Technical ownership of complex deployments and architectural decisions • Direct influence on the core AI platform and product roadmap • Career growth at the intersection of healthcare, AI, enterprise software, and technical consulting
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🇺🇸 United States – Remote
💵 $37 - $63 / hour
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
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