Software Engineer, Applications - AI Team
New
C
CentralReachHealthcare SaaS
Remote - USFull-TimeMiddle
Salary100,000 - 140,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- Next.jsCI/CDRESTful APIsDistributed Systems
Requirements
- 5+ years of professional software engineering experience
- 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)
- Experience with evaluation and monitoring of AI/ML features
- 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
Responsibilities
- Serve as a lead for AI application development within the Product Organization, setting standards for code quality, architecture, and delivery
- 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
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