Staff Backend Software Engineer

About This Opportunity

Our talent team is representing a confidential healthcare technology organization in their search for a Staff Backend Software Engineer to lead AI-native development across their revenue cycle management platform. This is a remote position based in the United States.

In this role, you'll combine deep software engineering expertise with hands-on production AI experience to transform how healthcare organizations manage billing, payments, claims, and operational workflows. You'll design reusable AI capabilities, establish engineering standards for AI-powered systems, and operate at the intersection of platform architecture and business transformation.

Responsibilities

• Identify and implement practical opportunities to embed AI into backend services and business workflows to improve efficiency, accuracy, and decision support
• Design and build production-ready AI-enabled services that combine application logic, APIs, and AI models to support customer and operational use cases
• Integrate LLMs, ML models, and external AI services into existing systems using strong engineering patterns for reliability, observability, and maintainability
• Build workflows that use AI in bounded, auditable ways with clear fallback behavior, evaluation, and human review where appropriate
• Lead software development using Spring Boot, Java, React, and cloud technologies to design, develop, test, and deploy scalable applications
• Architect robust and scalable solutions in collaboration with product managers, designers, and cross-functional teams
• Leverage cloud platforms (AWS, Azure, Google Cloud) to design cloud-native applications optimized for scalability, reliability, and cost-efficiency
• Conduct thorough code reviews and mentor engineers, fostering a culture of continuous learning and improvement
• Monitor and optimize application performance across both frontend and backend layers
• Partner with product, design, data, and operational teams to turn workflow pain points into scalable software solutions with measurable impact

What We're Looking For

• 8+ years of professional software engineering experience building scalable distributed systems with a track record of driving technical direction and architecture decisions
• Mastery of Java, Spring Boot, and Python for developing secure, high-throughput, cloud-native backend systems (AWS, Azure, or GCP)
• 2–3+ years of hands-on experience designing, shipping, and maintaining production AI-enabled or AI-native applications combining LLMs, core application logic, and business workflows
• Practical experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or CrewAI
• Deep understanding of RAG, tool calling, prompt engineering, context/state management, and human-in-the-loop patterns
• Strong background in distributed systems, event-driven architectures, asynchronous processing, and messaging platforms like Kafka
• Proven experience implementing enterprise AI guardrails, including real-time observability, latency/cost monitoring, automated evaluation pipelines, and robust fallback mechanisms
• React experience for frontend collaboration and performance optimization
• Excellent cross-functional communication skills to bridge Engineering, Product, Design, and Operations
• Preferred: Experience building autonomous, multi-step agentic systems with multi-tier memory networks and recursive reasoning
• Preferred: Prior background in Healthcare IT, Revenue Cycle Management, billing, claims processing, fintech, or similarly regulated, high-compliance transaction environments
• Preferred: Hands-on experience with vector databases, semantic search architectures, and enterprise knowledge graph construction
• Preferred: Exposure to PyTorch, Hugging Face Transformers, custom embedding models, fine-tuning methodologies, or model serving optimization

How We Work With You

When you apply through Get A Job.ai, a member of our recruiting team will screen your application and qualifications. If there's a strong match, we'll submit your profile to our client for consideration. Throughout the interview process, we'll provide guidance and support to help you succeed.

Important: Please apply only through Get A Job.ai. Do not contact the client organization directly, as this may disqualify your application.

Pay

This role is eligible for competitive compensation. Specific pay details will be discussed during your initial screen with our recruiting team and will be based on your experience, qualifications, and location.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, age, or any other protected characteristic.