Partner with payer and PBM clients to understand their workflows and requirements
Translate technical and business needs into robust, AI-driven solutions
Lead hands-on implementation of EOS into customer environments
Configure and deploy serverless and containerized infrastructure using AWS
Design, develop, and maintain customer-specific AI agents and applications
Apply the full software development lifecycle (SDLC) to AI and automation components
Leverage Python and JavaScript to integrate solutions seamlessly
Implement and optimize agentic systems and RAG (retrieval-augmented generation) pipelines
Monitor solution performance, KPIs, and system health
Continuously improve implementations based on data and feedback
Deliver training, guidance, and documentation to help customers maximize value
Channel insights back to our product team to refine EOS functionality and roadmap
3–5 years of professional experience in:
Software engineering, solution engineering, or technical consulting
Customer-facing or implementation roles
Strong programming skills in Python and/or JavaScript
Deep experience with cloud platforms (AWS preferred; GCP/Azure acceptable)
Familiarity with container orchestration and serverless architectures
Excellent communication and problem-solving skills
Experience working in or with regulated industries (healthcare, fintech, etc.) is a plus
Ability to travel as needed (U.S. only)
Competitive base salary ($145K–$175K)
Meaningful equity (0.1%–0.15%)
Mission-driven team working on high-impact problems
Remote-first culture with offices in Raleigh, Nashville, and Missouri
Opportunity to work closely with seasoned founders and a high-growth customer base
Fast-paced, collaborative startup environment with real ownership