Lead Full Stack .Net Developer w/ strong AI/RAG/LLM

ZealHire Inc.; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

LinkedIn Page

Job summary

CareMetx is seeking a Lead Full Stack .Net Developer with strong AI/RAG/LLM capabilities, remote within the United States. The role demands leadership in adopting AI-driven coding, reviews, and documentation, plus hands-on expertise across .NET, Angular, and React.

You will guide architecture, own critical features end-to-end, and mentor engineers while collaborating with product and business stakeholders to accelerate delivery of healthcare technology products.

Qualifications

• Design, develop, and maintain full stack apps using .NET (C#), Angular, React.
• Lead experience in guiding teams and delivering projects.
• Strong backend dev with .NET/C# including APIs and SOA.

Responsibilities

• Lead AI-first development practices across engineering, including AI-assisted code generation and LLM-powered features.
• Architect and deliver scalable full-stack systems from API design to front-end implementation.
• Mentor engineers, collaborate with product, and drive architectural consistency and quality.

Skills

Full stack .NET

Angular

React

C#

API design

SOA

AI-first development

LLM integration

Communication

US Natural Citizen

Education

Bachelor’s degree in Computer Science

Tools

Angular

React

Job description

Lead Full Stack .Net Developer w/ strong AI/RAG/LLM | JPC-8603

Lead Full Stack .Net Developer w/ strong AI/RAG/LLM

CareMetx

Location: REMOTE

Duration 12-18mth+

Must have:

• Design, develop, and maintain full stack applications using .NET (C#), Angular, and/or React
• Current or recent lead exp
• Strong backend development experience with .NET / C#, including API and service-oriented architecture
• Strong frontend experience with Angular and React, with emphasis on UI performance and usability
• Lead the adoption of AI-first development practices across the engineering organization — including AI-assisted code generation, intelligent code review, automated documentation, and LLM-powered feature development.
• Evaluate and integrate emerging AI tools, frameworks, and APIs (including large language models and generative AI platforms) into
• Experience integrating AI/ML tools into development workflows (e.g., AI-assisted coding, test generation, or LLM-based analysis)
  • MUST HAVE excellentCOMMUNICATION
    • US Natural Citizen
• Must have strong excellent communication
• LinkedIn Page

The Senior Engineer II is a highly experienced software engineer and technical leader who drives the design, development, and delivery of complex, scalable software systems at CareMetx. This role requires a seasoned engineer who brings deep full-stack expertise, strong architectural instincts, and a forward-thinking AI-first development mindset to every product and platform initiative.

Operating with a high degree of autonomy, this individual leads technically across multiple projects, shapes engineering direction, mentors fellow engineers, and partners closely with product and business stakeholders to deliver meaningful, high-quality software that accelerates patient access to specialty therapies. Experience in the pharmaceutical or healthcare technology industry is strongly preferred.

PRIMARY DUTIES & RESPONSIBILITIES

• Lead the adoption of AI-first development practices across the engineering organization — including AI-assisted code generation, intelligent code review, automated documentation, and LLM-powered feature development.
• Evaluate and integrate emerging AI tools, frameworks, and APIs (including large language models and generative AI platforms) into CareMetx's product and platform architecture.
• Establish internal standards and best practices for responsible, scalable AI integration; conduct knowledge-sharing sessions to accelerate AI fluency across engineering teams.
• Stay current with the rapidly evolving AI/ML landscape, bringing innovations back to the organization and translating them into concrete product improvements.

Software Architecture & Engineering Excellence

• Architect and develop robust, scalable, and maintainable software systems across the full stack — from API design and data modeling to front-end implementation and cloud infrastructure.
• Lead the technical design of complex features and platform capabilities, producing clear architectural documentation and driving cross-functional alignment before implementation begins.
• Own multiple concurrent complex projects end-to-end, from requirements refinement through deployment and post-launch observability.
• Establish and enforce engineering standards — including code quality, design patterns, security practices, and performance benchmarks — through code reviews, documentation, and direct mentorship.
• Proactively identify and address technical debt, refactoring opportunities, and architectural risks before they become blockers.
• Provide deep technical expertise across two or more engineering domains (e.g., backend services, cloud infrastructure, data engineering, API integrations, front-end architecture).

Product & Business Partnership

• Collaborate closely with product management, UX, and business stakeholders to translate complex requirements into practical, elegant technical solutions.
• Actively participate in product planning, sprint ceremonies, and roadmap discussions — providing engineering perspective on feasibility, effort, risk, and opportunity.
• Anticipate downstream technical implications of product decisions and proactively surface tradeoffs with clear, data-informed recommendations.
• Develop a strong command of CareMetx products and can effectively demo features and explain system behavior to both technical and non-technical audiences.
• Provide technical mentorship and career development guidance to junior and mid-level engineers, accelerating their growth and raising the overall capability of the team.
• Actively participate in recruiting, technical screenings, and hiring decisions — contributing to building a high-caliber engineering organization.
• Foster a culture of continuous learning, psychological safety, and engineering craftsmanship within the team.
• Initiate and lead cross-team collaboration on shared challenges, platform improvements, and architectural consistency.
• Serve as a clear, confident technical voice in team and leadership discussions — representing engineering perspective and escalating risks appropriately.

Delivery, Operations & Continuous Improvement

• Design and maintain robust CI/CD pipelines; champion automated delivery practices that reduce lead time and increase deployment reliability.
• Monitor system health, analyze production logs and metrics, and lead incident response for critical issues — including on-call coverage for production systems.
• Identify opportunities to improve engineering efficiency, developer experience, and system reliability — and follow through on implementing those improvements.
• Document system designs, APIs, runbooks, and engineering decisions to ensure institutional knowledge is captured and accessible.
• Demonstrate the ability to shift focus between competing priorities fluidly, managing workload without requiring external direction.
• Perform other related duties as assigned.

QUALIFICATIONS

Experience & Education

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline; equivalent professional experience will be considered.
• 8–12 years of progressive software engineering experience, with a minimum of 2+ years in a Senior Engineer I or equivalent senior-level role.
• Demonstrated track record of leading complex software projects from inception through production deployment and ongoing support.
• Experience in the pharmaceutical, specialty pharmacy, or healthcare technology industry strongly preferred.
• Expert-level proficiency in one or more backend languages (e.g., Python, Java, C#, Node.js) and strong competency in front-end technologies (e.g., React, TypeScript, Angular).
• Deep experience designing and building RESTful and GraphQL APIs, microservices architectures, and event-driven systems.
• Hands-on experience integrating AI/ML tools and LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into production software — building AI-powered features and intelligent workflows.
• Strong command of cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes); experience with infrastructure-as-code (Terraform, Pulumi, or similar).
• Proficiency with relational and NoSQL databases; experience with data modeling, query optimization, and ensuring data integrity at scale.
• Experience with CI/CD tooling (e.g., GitHub Actions, Azure DevOps, Jenkins), observability platforms, and modern software delivery practices.
• Excellent analytical and problem-solving skills; capable of breaking down ambiguous, high-complexity problems into actionable engineering plans.

$000,000 – $000,000 Salary range is not shown on the candidate portal