Unknown Company

Staff Software Engineer, Agentic AI

new york, ny • Posted 6 days ago
Hybrid Full Time General

Staff Software Engineer, Agentic AIAtria Health is seeking a Staff Software Engineer, Agentic AI to define the strategy and lead the implementation of emerging technologies across our Technology organization and Atria as a whole. This is a senior individual contributor role for a technical leader and builder who is equally comfortable shaping strategy, writing production code, designing governance, and driving adoption. You will identify the highest-leverage opportunities to apply agentic AI across Product, Design, and Engineering; architect and ship the systems that make those workflows faster and better; and establish the measurement, evaluation, and security standards that let us scale confidently.This role requires someone who actively works at the frontier of AI-assisted development.

You should already be using modern AI tooling and agentic workflows as part of your daily work and continuously seeking to leverage the latest developments.This is not a pure strategy role. We are looking for a seasoned engineer who will build dependable systems, drive their adoption, and show measurable impact. Your initial focus will be applying agentic AI across Atria's technology workflows.

Working with engineering, product, design, and cross-functional partners, you'll identify high-leverage opportunities, define where human oversight is required, and establish clear metrics proving improvements in speed, quality, and reliability. After establishing successful systems within the Technology organization, you will explore and drive high-impact applications of agentic AI across other parts of Atria.Tech StackLanguages: TypeScriptBackend: Node, ExpressFrontend: ReactInfrastructure: Google Cloud Platform, TerraformDatabase: MySQLTooling & Integrations: Cursor, Github, Sentry, Datadog, Mixpanel, OmniKey ResponsibilitiesStrategy & Opportunity SelectionIdentify the highest-leverage opportunities for agentic systems and emerging technologies across Product, Design, and Engineering workflowsMap end-to-end workflows and turn ambiguous opportunities into clear technical strategies and phased execution plansPrioritize work based on measurable business value, technical feasibility, operational risk, and adoption potentialHelp Atria stay current on meaningful advances in emerging technologies and translate them into practical plansPlatform & Workflow DevelopmentArchitect and build Atria's internal platforms for agentic workflows, including context retrieval, integrations, permissions, validation, observability, and auditabilityDesign reusable services, APIs, patterns, and interfaces that support AI-assisted workflows across planning, implementation, review, release, and incident responseBuild and ship high-impact workflow improvements yourself, especially in the highest-priority and most technically challenging areasCreate systems that can safely combine context across code, documentation, design files, collaboration tools, analytics, and other internal sourcesDefine integration patterns that allow new workflows to be added without rebuilding core primitives every timeEvaluation, Reliability & GovernanceEstablish evaluation frameworks for agentic systemsDefine how output quality is measured and how systems are monitored over time for drift, regressions, and operational failuresInstrument workflows with meaningful metrics tied to adoption, cycle time, review efficiency, quality, reliability, and user trustPartner with Foundations Engineering and other stakeholders to implement appropriate controls around permissions, access, audit trails, vendor risk, and sensitive data handlingDefine where agents can act autonomously, where human approval is required, and how those boundaries are enforced in toolingEnablement & AdoptionCreate playbooks, standards, and training that help engineers, product managers, and designers adopt effective AI-assisted ways of workingRaise the bar on internal practices around context management, prompt and workflow design, evaluation, and safe rolloutServe as a trusted technical leader across teams, influencing direction through strong judgment, credibility, and hands-on executionMentor engineers through design guidance, implementation partnership, and thoughtful code reviewHelp teams distinguish between impressive demos and durable production systemsCore Experience~8+ years of professional software engineering experience, with significant time as a senior or staff-level ICA track record of owning and shipping complex, cross-functional initiatives from idea through rollout and adoptionMeaningful hands-on experience building with AI, LLM-powered, agentic, or workflow-automation systems in real environmentsComfort operating in ambiguous domains and making strong decisions with clear tradeoffsStrong product judgment: you know how to choose problems worth solving, not just technologies worth exploringTechnical SkillsDeep experience using modern AI tooling as part of the software development process (AI-assisted coding, agentic workflows, automated debugging, code generation, and workflow automation)Strong full-stack engineering skills: you can design services and APIs, build user-facing interfaces, integrate third-party systems, and wire up telemetry and monitoringDeep familiarity with modern systems design, including reliability, observability, security, performance, and costDeep experience with at least one cloud provider and infrastructure-as-codePractical understanding of patterns relevant to agentic systemsExcellent debugging and incident-response skills; you are comfortable digging into logs, traces, analytics, and system behavior to understand what is actually happeningLeadership & CollaborationProven ability to lead through influence across multiple teams and disciplines without relying on formal authorityClear written and verbal communication; you can explain complex technical topics to both engineers and non-technical stakeholdersComfort collaborating with clinicians, operations, research, product, and design partners in a high-context environmentA pragmatic mindset that balances long-term architectural quality with iterative delivery and fast learningA strong instinct for measuring impact and changing direction when the data says a system is not creating enough valueNice to HaveExperience in healthcare, digital health, or other regulated domains (HIPAA, PHI, SOC 2, etc.).Experience evaluating vendors and open-source tools and making sound build-vs-buy decisionsExperience extending AI-assisted workflows to paying customersReporting & Work ArrangementThis role reports to the VP of Engineering. This is a hybrid role based in New York City, with 3 days/week in the office (Tuesday–Thursday).

Travel to other Atria locations as needed.Base Salary:$230,000 - $290,000

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