Lirio is a behavior change AI platform that unites behavioral science with artificial intelligence powering your ability to move people along their unique journey to better health through person-centered communication.
To learn more, visit Lirio.com.

Lirio

support-engineer

Lirio is a healthcare technology company that empowers personalized healthcare journeys through hyper-personalized communications aimed at improving health outcomes. By leveraging the expertise in behavioral science, Lirio influences individual health actions and adapts communications to a person's evolving clinical history and social context. Their platform, powered by the world’s first Large Behavior Model for healthcare, automates engagement with healthcare populations via dynamic interactions, enhancing the personalization of healthcare experiences. Through Precision Nudging®, the company helps patients and members engage more effectively with healthcare systems and benefits, promoting healthier populations and reducing care costs. Lirio emphasizes personalized, sustained engagement, helping organizations proactively address health equity and close care gaps to achieve improved clinical and financial outcomes.

Lirio is a behavior change AI platform that unites behavioral science with artificial intelligence powering your ability to move people along their unique journey to better health through person-centered communication. To learn more, visit Lirio.com.

• Use REST services and tools such as Postman API to set up and manage critical client environments for our services.
• Monitor/assess production applications and message distributions using tools and services such as DataDog, Email Data Source, SendGrid, Mailgun, Mailgun Optimize, Twilio, Salesforce, Microsoft Dynamics, Snowflake etc. Support analysis and process improvements associated with findings.
• Participate in a cross-functional and limited polyglot manner; possibilities include learning and helping with the UI or backend services, helping the data science team, assisting Application Support Engineers, processing change requests for Client Success
• Support technology and processes; this may include data ETL, software configuration, manipulating message templates/HTML, etc.
• Manage Client Service desk, maintain change request backlog, troubleshoot reported issues, escalate to appropriate teams where needed with clear and concise escalation details.
• Monitor, manage, and maintain multiple communications channel configurations using Mailgun, Twilio, Salesforce, MS Dynamics, etc.
• Assist Application Support Engineers in User Acceptance Testing (UAT) for new clients and platform capabilities.
• Work in a highly collaborative, multi-tasking, continually learning and agile DevOps environment.
• Produce high-quality work and demonstrate a high work ethic.
• Act in self-directed and attentive manner related to client operations.
• Be able to work in an Agile environment (e.g., Scrum, SAFe).
• Write and verify documentation related to infrastructure, products, and tools. Documentation includes API docs, wiki pages, troubleshooting guides, use of technology, roles and responsibilities, etc.
• Communicate effectively and clearly with both internal and clients; fail fast and learn from mistakes.

Technical Support Specialist

Technical Support Specialist handling client environments for Lirio, a behavior change AI company. Collaborating on technical solutions, ensuring quality service, and driving process improvements.

platform-engineer

• Responsible for designing, building, and maintaining the AI-augmented software delivery platform that enables Lirio's engineering team to build software faster and safer using AI coding agents.
• Owns the end-to-end developer toolchain, from work item intake through AI agent coding loops to validated, compliant pull requests, ensuring that developers and AI coding agents can produce production-ready code together within Lirio's HIPAA/HITRUST-regulated environment.
• Collaborate cross-functionally with platform, cloud, security, and machine learning research engineers, as well as system architects, to ensure the AI developer platform integrates cleanly with Lirio's existing infrastructure and compliance posture.
• Deliver working developer platform capabilities in weeks, not quarters, starting with what we have today and iterating based on real results.

Senior AI Development Platform Engineer

Senior AI Developer Platform Engineer responsible for building AI-augmented software delivery platform at Lirio. Collaborating with teams to ensure seamless integration within existing systems.

• Design and implement infrastructure to support LLM-based autonomous agents capable of multi-step reasoning, planning, and task execution.
• Build and manage directed workflows using state machines and tools to coordinate complex AI-human handoffs.
• Lead the architectural design and technical implementation of interoperability standards that enable seamless communication between autonomous agents and diverse software ecosystems.
• Architect and maintain cloud-native platforms that support end-to-end AI workflows, from model experimentation to high-availability production deployment.
• Develop evaluation frameworks and observability dashboards to monitor agent accuracy, latency, cost, and safety guardrails.
• Optimize agent performance by managing tool discovery and context window efficiency through standardized protocols, ensuring agents can dynamically access and execute the right capabilities on-the-fly.
• Embed healthcare regulatory compliance (e.g. HIPAA) directly into the platform layer through automated guardrails and audit trails.
• Implement security controls against prompt injection and ensure PII/PHI de-identification within agentic data flows.
• Implement secure authentication, role-based access controls, and data masking within interoperability layers to serve as a secure gatekeeper between AI agents and sensitive enterprise systems.
• Provide subject matter expertise and technical support to engineering teams during implementation.
• Build prototypes, reference integrations, or proof-of-concept solutions to validate design decisions and de-risk complex implementations.
• Evaluate existing systems and propose improvements or replacements.
• Promote AI-assisted engineering tools and modern development practices consistent with Lirio’s engineering culture.
• Document processes, designs, implementations, and best practices for future reference.
• Serve as a contributing member of Lirio’s Architecture Team, helping to maintain architectural coherence and platform quality.
• Partner with Product Management to shape solution approaches before work enters development planning and execution.
• Work closely with Cloud, Data, AI/ML, Behavioral Science, and Engineering teams to ensure solutions support personalization, scalability, and measurable outcomes.
• Participate in the Engineering Council, helping to define and uphold engineering standards, patterns, and technical governance.
• Diagnose and respond to issues in the implementation of agent orchestrations, adjusting guardrails and workflows as needed.

Senior AI Platform Engineer

Senior AI Platform Engineer at Lirio driving Precision Nudging health interventions through architectural design and modern AI workflows. Collaborating across teams to ensure safe and effective AI operations.

solutions-engineer

• The Solutions Architect plays a critical role in designing secure, scalable, cloud-native solutions for Lirio’s platform across both our Lirio-hosted SaaS environment and our customer-hosted deployment model.
• This Solutions Architect role is primarily focused on Microsoft ecosystem integrations, including Azure, Power Platform, Dynamics 365 and Dataverse, and Copilot-enabled experiences.
• Partnering with Product, Engineering, Cloud, Data, AI, and Behavioral Science teams to translate product and client requirements into actionable system, integration, and data designs aligned with Lirio’s architecture standards.
• Defining clear integration boundaries between Lirio and customer ecosystems, including system-of-record decisions, data ownership, and stable integration contracts that meet latency, scale, reliability, and compliance requirements.
• Designing the agentic layer of the Lirio solution, including AI-centered workflows, services, and interoperability.
• Contributing to Lirio’s Architecture Team, shaping work before it enters delivery, producing design artifacts, and building prototypes or reference integrations to validate patterns and reduce customer-by-customer variability.

Solutions Architect – Contract to Hire

Solutions Architect designing cloud-native solutions for Lirio’s AI platform. Focusing on Microsoft ecosystem integrations and collaborating with cross-functional teams.

qa-engineer

• The Software QA Lead Engineer is accountable for quality strategy and execution across Lirio’s cloud-native platform, user interfaces, and customer integrations.
• This role leads a shift-left quality approach across squads (Platform, Enterprise, Data/ML, etc.), owning test strategy, automation, and quality gates for web/UI experiences, services, APIs, event-driven workflows, and data flows in a regulated healthcare environment.
• This role involves mentoring QA engineers, designing and implementing test automation frameworks, and conducting code and test reviews, while partnering closely with Engineering, Product, Cloud/SRE, and Customer Operations to ensure releases are reliable, observable, and audit-ready.

Lead, Software Quality Assurance – Contract-to-Hire

Lead Software QA Engineer accountable for quality strategy and execution for Lirio’s platforms and integrations. Mentors engineers and ensures reliable, observable, and audit-ready releases.

• Architect scalable, secure, cloud-native solutions for Lirio’s agentic behavioral science and AI platform, including its distributed multi-cloud deployment architecture.
• Translate business, clinical, behavioral science, and client requirements into clear architecture and integration designs.
• Produce high-level and low-level design documents, including architecture diagrams, data and sequence flows, and technical specifications.
• Ensure all solution designs align with Lirio’s platform strategy, architectural principles, and engineering standards.
• Support both SaaS (Lirio-hosted) and customer-hosted deployments where the Lirio platform runs inside client cloud environments.
• Contribute to architectural decision records (ADRs) and collaborate with the Architecture Team on platform evolution.
• Design and guide integrations with key strategic platforms and ecosystems, including Microsoft Dynamics 365 and Azure Data & AI services.
• Architect multi-channel engagement workflows across SMS, email, push, portal messaging, and other channels using providers such as Twilio, Mailgun, and similar services.
• Contribute to the modernization and expansion of Lirio’s messaging and engagement capabilities, including replacement or consolidation of legacy vendor components.
• Support event-driven and asynchronous architectures using technologies such as Kafka.

Solutions Architect – Staff / Principal Scope

Solutions Architect at Lirio creating scalable cloud-native systems for behavioral science and AI applications while collaborating across functional teams.

Lirio

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6 jobs found

Technical Support Specialist

Lirio

Senior AI Development Platform Engineer

Lirio

Senior AI Platform Engineer

Lirio

Solutions Architect – Contract to Hire

Lirio

Lead, Software Quality Assurance – Contract-to-Hire

Lirio

Solutions Architect – Staff / Principal Scope

Lirio