Engineering Manager

Personify Health

. Lead the AI Feature team responsible for PercyIQ, Personify Health's AI-powered discovery and conversation experiences .

Posted 10/6/2026full-timeRemote • Bosnia & Herzegovina, United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI-driven feature development, managing cross-functional teams, and ensuring compliance in regulated environments. Proficient in building and operating production systems with a focus on conversational AI, analytics infrastructure, and operational health.

Highest-signal resume keywords

AI Feature LeadershipConversational AI DevelopmentProduction Operations ManagementEngineering Team DevelopmentCompliance and Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI/RAG-Powered SearchLLMs/Generative AIEvent-Driven Data PipelinesLoad/Performance TestingIncident ResponseAnalytics InfrastructureChatbot IntegrationKnowledge Base ManagementAgile Delivery

Soft Skills

Team ManagementCross-Functional CollaborationMentoringCommunicationProblem Solving

Tools & Technologies

AWS BedrockOpenAIKafkaS3SnowflakeNew RelicPagerDutyCRM ToolsHelpdesk ToolsAgile Methodologies

Industry Keywords

Healthcare TechnologyPrivacy CompliancePHI/PII ProtectionTranslation/LocalizationUser Experience Design

Tech Stack

Tools & technologies

AndroidAWSiOSKafka

About the role

Key responsibilities & impact

Lead the AI Feature team responsible for PercyIQ, Personify Health's AI-powered discovery and conversation experiences
Own delivery of AI/RAG-powered search and discovery across Web, iOS, and Android, including agent orchestration, knowledge base ingestion, and result ranking/personalization
Lead go-live readiness, capstone testing, pilot monitoring, load testing, production alerting, and runbooks for AI-driven features
Direct analytics infrastructure for measuring and reporting AI feature usage
Guide AI guardrails and evaluators for clinically appropriate, on-brand, trusted responses, including crisis/emergency detection and routing
Oversee PHI/PII protection, including masking sensitive health identifiers before storage
Drive translation and localization support for non-English-speaking members
Lead technical design and delivery of conversational AI experiences and quality/safety management frameworks
Own integrations for benefits and clinical chat use cases and handoffs between AI chat and human support channels
Own the AI-powered member support chatbot, including intent recognition, RAG-based responses, and escalation to live agents
Ensure operational health of human handover, knowledge-base synchronization, and mitigations for hallucination or mis-routing
Manage, mentor, hire, and develop backend, frontend, and QA/automation engineers
Run agile delivery activities including sprint planning, retrospectives, release captain rotation, regression testing, and automation maintenance
Own production support, on-call readiness, incident response, alerting, and post-incident documentation
Track and report AI system health metrics to engineering and product leadership
Collaborate with Engineering Managers, the Director of Software Engineering, and Product/UX leadership on roadmaps and dependencies

Requirements

What you’ll need

5+ years of experience in software engineering, spanning backend and frontend systems
3+ years in an engineering management or tech lead role, managing and developing engineers
Hands-on experience building or operating production systems using LLMs/generative AI, such as RAG pipelines, prompt/guardrail design, or agent orchestration (e.g., AWS Bedrock, OpenAI, or similar)
Experience with conversational AI or chatbot platforms and integrating them with human escalation systems (e.g., CRM/helpdesk tools)
Experience operating in a regulated, compliance-sensitive environment and partnering with Legal and Security on AI risk, safety, and privacy
Experience with event-driven data pipelines (e.g., Kafka, S3, Snowflake) supporting analytics and reporting use cases
Strong production operations background: on-call ownership, incident response, observability/alerting tooling (e.g., New Relic, PagerDuty), and load/performance testing
Experience partnering cross-functionally with Product Management, UX, and clinical/content stakeholders on user-facing feature delivery
Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
Preferred: experience with search/discovery systems, mobile platforms, translation/localization pipelines, healthcare/wellbeing/benefits technology, and evaluating or migrating conversational AI or customer support vendor platforms

Benefits

Comp & perks

Equal opportunity employer committed to diversity, equity, inclusion, and belonging
Inclusive work environment where differences are celebrated and employees of all backgrounds are empowered to thrive