Software Engineer, Applications

CentralReach’s AI team operates as a cross-functional group that rapidly builds, validates, and scales product capabilities including bringing new products to market. The Software Engineer, Applications works in a rapid development manner from design to evaluation to production. 

This role is hands-on and deeply engaged across the early stages of development of applications, from early prototypes and pilots through production hardening and scale. They partner closely with product builders, Product organization leaders and subject matter experts to translate customer problems into reliable features that integrate seamlessly with CentralReach’s core workflows. They follow established engineering standards for application development: evaluation and quality thresholds, observability, guardrails, and performance management. We are looking for an enthusiastic individual, and the ideal candidate will be a natural collaborator and problem solver with a high intellectual curiosity and will thrive in a data-driven environment.  

Key Accountabilities: 

Technical Leadership & Engineering Excellence 

• 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 

 Rapid Application Development (Hands-On) 

• 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 

 

Cross-Functional Delivery & Integration &l