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Abbott

Makes heart devices, glucose sensors and lab tests

Staff AI/Agentic Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$113.3k - $226.7k

About the Job

Requirements

  • Seven to ten years of software engineering experience, including substantial delivery of distributed, API-driven, or workflow-intensive production systems.
  • Hands-on experience designing, coding, testing, deploying, and operating agentic or large language model-based applications in production at scale, while remaining an active technical contributor.
  • Deep understanding of agent architecture, tool calling, durable state, multi-agent coordination, context engineering, retrieval, evaluation, observability, and safety controls.
  • Strong software engineering ability in Python and at least one of TypeScript, Go, or Java, including distributed systems, API design, testing, and secure software development life cycle.
  • Experience defining measurable quality, safety, reliability, latency, and cost indicators and using evaluation results to drive systemic improvement across multiple workflows.
  • Bachelor's degree in a related field or equivalent professional experience.
  • Ability to drive technical decisions with significant autonomy, influence engineers outside a direct reporting line, and communicate effectively with technical leadership.

Responsibilities

  • Lead the design and implementation of complex multi-agent systems, including supervisor, planner/executor, and multi-agent coordination patterns with well-defined boundaries and failure handling.
  • Set standards for durable workflow design, including state, checkpoints, replay, idempotency, compensation, and human-in-the-loop processes, used across the AI/Agentic Engineering team.
  • Drive context-engineering and retrieval strategy across multiple workflows, including chunking/indexing, memory hierarchies, grounding, and context-window budgeting.
  • Lead evaluation strategy by designing evaluation systems, curating datasets, defining task-success and safety metrics, and establishing regression gates in continuous integration and online/shadow evaluation.
  • Own production reliability for high-complexity or high-risk agentic systems, including latency/cost optimization at scale, rate-limit strategy, graceful degradation, and incident response leadership.
  • Set engineering standards through architecture reviews, design documents, and code reviews; identify and resolve systemic technical risk in agent delivery.
  • Create reusable agent patterns, software development kits, and evaluation tooling for the platform paved road, in partnership with AI Platform Engineering.
  • Lead technical discovery with AI Product Managers, Platform Engineering, Applied Data Science, and business stakeholders; communicate feasibility, risk, and delivery commitments directly to senior stakeholders.
  • Mentor and technically develop mid-level and junior engineers; act as technical lead on cross-team initiatives without formal people-management responsibility.

Desired Qualifications

  • Experience with agent frameworks or durable workflow systems such as LangGraph, Temporal, or comparable technologies, and model-provider application programming interfaces at scale.
  • Experience in a highly regulated environment such as health technology, medical technology, or life sciences, including GxP, HIPAA, validation, and change-control constraints.
  • Experience building secure tool-use systems, prompt-injection defenses, human-approval workflows, and responsible-AI controls for production agentic systems.
  • Track record of shipping reusable agent patterns, evaluation tooling, or paved-road capabilities adopted by multiple teams, and prior informal technical leadership or mentoring experience.

About the Company

Abbott

Makes heart devices, glucose sensors and lab tests

Abbott makes medical devices, diagnostic tests, nutrition products and branded generic drugs for hospitals, laboratories, pharmacies and patients. Its best-known product is the FreeStyle Libre, a coin-sized sensor worn on the upper arm that tracks blood sugar around the clock without routine finger pricks. Its other lines run from heart valves, pacemakers and brain stimulators to lab analyzers, rapid tests and mail-in colon cancer screening kits, and Abbott earns money by selling these products to health systems, labs, retailers and consumers. The company was founded in 1888 by Chicago physician Wallace Abbott and is based in Abbott Park, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Abbott Park, IL
Founded
1888

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