Software Engineer, Applications

CentralReach is a leading provider of autism and IDD care software for Applied Behavior Analysis (ABA), multidisciplinary therapy, and special education. The Software Engineer, Applications will work in a rapid development environment, focusing on building and scaling product capabilities while collaborating closely with product teams to translate customer problems into reliable features.

Responsibilities:

• Serve as a lead for AI application development within the Product Organization, setting standards for code quality, architecture, and delivery
• Lead by doing design and implement core application components, critical services, and integration layers
• Establish quality thresholds and release criteria (accuracy, latency, reliability, cost, and user trust)
• Design safeguards and “safe failure modes”: fallback behaviors, confidence thresholds, user controls, content filtering, and transparency patterns
• Build product capabilities end-to-end (service + workflow integration + instrumentation), including expertise in LLM-enabled workflows, RAG, Next.js, summarization, classification, and automation patterns
• Build and maintain shared libraries/components for application development (prompt/tooling patterns, service templates, evaluation utilities, safety layers)
• Own technical readiness for production: reliability, observability, performance tuning, and incident response preparedness
• Collaborate with platform Engineering and DevOps to ensure CI/CD and environment consistency, scaling strategies, cost controls for inference and secrets management and secure data handling
• Partner tightly with product builders and workflow owners to translate validated prototypes into production implementations
• Collaborate with core engineering teams to integrate AI capabilities into CentralReach’s main platforms
• Stay current with application engineering practices and help translate emerging techniques into safe, valuable product capabilities

Requirements:

• 5+ years of professional software engineering experience, with demonstrated technical leadership
• Strong experience building and operating production distributed systems and backend services
• Demonstrated hands-on experience delivering AI/ML-powered product features (LLMs and/or traditional ML), including evaluation and monitoring
• Experience with retrieval systems and search relevance (RAG, embeddings, indexing, ranking, evaluation)
• Strong system design skills: APIs, data flows, integration patterns, performance and reliability tradeoffs
• Experience with observability and operational excellence (logging, metrics, tracing, alerting, incident response)
• Ability to communicate technical concepts clearly to product, design, and executive stakeholders
• Experience in a healthcare SaaS environment
• Familiarity with multi-tenant architectures and enterprise access control models
• Experience building internal platforms/tooling that improve developer experience and standardize best practices