Senior Forward Deployed Engineer
C
Continuum Resource NetworkHealthcare AI
Work remotely within the United States, Preference for Eastern or Central time zones.Full-TimeSenior
SalaryBase Salary: $170,000–$205,000 per year. On-Target Earnings (OTE): $190,000–$240,000 per year. Equity: Competitive equity opportunity.
Apply NowOpens the employer's application page
Job Details
- Experience
- 5–15 years of software engineering experience
- Required Skills
- AWSNode.jsPythonGCPJavascriptTypeScriptNext.jsReact
Requirements
- Have 5–15 years of software engineering experience and a strong background building and delivering production software systems.
- Have experience owning full technical delivery for enterprise clients, including pre-sales support, requirements gathering, solution scoping, implementation, integration, and post-launch support.
- Have experience building and deploying customer-facing software systems end-to-end through production engineering, solutions engineering, solutions architecture, or technical consulting.
- Bring healthcare or life sciences expertise, particularly in patient services, specialty pharmacy, pharmacovigilance, clinical operations, health insurance, or HIPAA-related compliance.
- Be able to design end-to-end system architectures and produce clear, comprehensive architecture diagrams.
- Have experience with JavaScript, Node.js, TypeScript, Python, Next.js, and React.
- Have experience building data and machine learning pipelines, such as ETL/ELT workflows, document ingestion, unstructured data processing, PySpark, or predictive modeling.
- Have experience deploying production applications and managing cloud infrastructure using AWS, GCP, or comparable platforms.
- Be able to lead technical sessions and present solutions to technical and non-technical stakeholders, including senior executives.
- Bonus: Have experience building and deploying LLM-powered systems or AI agents, including prompt engineering, function calling, structured outputs, guardrails, and observability.
- Bonus: Have experience integrating AI systems with EHR/EMR platforms, claims infrastructure, specialty pharmacy systems, healthcare CRMs, or other enterprise healthcare applications.
- Bonus: Have experience with PostgreSQL, Redis, WebSockets, vector stores, LLM orchestration, Docker, and CI/CD pipelines.
Responsibilities
- Lead technical delivery from pre-sales demonstrations and requirements gathering through solution design, integration, implementation, and post-launch support.
- Design and deploy production-ready AI applications integrated with healthcare systems, including EHR/EMR platforms, claims systems, specialty pharmacy infrastructure, and CRMs.
- Facilitate technical working sessions and present solutions to C-suite executives and other senior stakeholders.
- Make independent decisions about system design, technology selection, integration strategy, and technical problem-solving.
- Develop reliable, scalable applications and integrations using modern programming languages, cloud infrastructure, and AI technologies.
- Build data pipelines and ingestion systems for structured and unstructured data and machine learning workflows.
- Translate client deployment lessons into platform improvements, reusable components, and product capabilities.
- Remain accountable for technical quality, reliability, and business impact of enterprise engagements.
View Full Description & ApplyYou'll be redirected to the employer's site
