AI Full Stack Engineer

• Build end-to-end products that use AI, UI through API​
• Frontend: React / Angular; Backend: Java / .NET / Node.js​
• APIs, microservices, databases and cloud services​
• DevOps, CI/CD and AI/LLM integration in production apps​
• 5+ yrs full stack; cloud-native delivery​

Primary Responsibilities:

• Solution Implementation & Delivery
• Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments
• Implement integrations between AI models, APIs, and enterprise healthcare systems
• Translate defined solution designs into high-quality, production-ready code
• Contribute to end-to-end delivery by supporting development, testing, and deployment activities
• Hands-on Engineering
• Develop solution components using modern programming languages (e.g., Python, Java, SQL) and engineering frameworks
• Work with distributed systems and cloud platforms to support scalable, reliable deployments
• Assist with data preparation, prompt configuration, and model integration for AI-driven solutions
• Troubleshoot and resolve technical issues during development and deployment
• Client Delivery Support
• Work alongside senior engineers and consulting leads in client engagements across healthcare payer and provider organizations
• Support technical discussions and working sessions with client stakeholders
• Help execute on defined project plans, timelines, and deliverables
• Contribute to iterative development cycles, incorporating client and team feedback
• Collaboration & Translation
• Partner with cross-functional teams, including engineering, platform, and product teams, to deliver integrated solutions
• Translate technical requirements into actionable development tasks
• Communicate progress, risks, and technical considerations clearly within the team
• Support alignment between technical implementation and client expectations
• Documentation & Knowledge Transfer
• Document solution components, integration points, and deployment processes
• Support knowledge transfer to client technical teams to enable adoption and sustainability
• Contribute to reusable implementation patterns, assets, and playbooks
• Success Measures
• Delivers high-quality solution components that meet performance, reliability, and security expectations
• Contributes effectively to end-to-end client delivery efforts
• Demonstrates strong execution in translating requirements into working systems
• Communicates clearly within teams and supports client delivery activities
• Builds capability in both technical implementation and client engagement over time
• Demonstrates the ability to design and develop prototypes with a clear path to production, ensuring solutions are scalable, supportable, and can be transitioned effectively to production engineering teams.

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 3+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
• 2+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
• Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments
• Experience working with APIs, data pipelines, or distributed systems
• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform)
• Exposure to AI/ML concepts, including LLMs and prompt engineering
• Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools
• Demonstrated ability to work effectively in client-facing delivery environments
• Demonstrated solid collaboration skills and ability to operate within structured project teams
• Demonstrated clear communication skills for working with both technical and non-technical stakeholders
• Demonstrated ability to execute against defined requirements and evolving priorities

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