Senior AI Agentic Engineer – Production Systems (Onsite IL)

Abbott; Illinois; Sur place; USD 113 000 - 227 000; Plein temps

Résumé du poste

Abbott is hiring for a senior engineering role in Illinois focused on production agentic systems and multi-agent architectures. You will direct design, implement, and optimize complex agentic workflows, collaborating with AI Platform teams and product stakeholders to raise technical standards and reliability.

This onsite position emphasizes autonomy, mentoring, and high-stakes delivery in a regulated healthcare technology environment.

Qualifications

• 7–10 years of software engineering experience, with substantial delivery of distributed, API-driven, or workflow-intensive production systems.
• Hands-on experience designing, coding, testing, deploying, and operating agentic or LLM-based applications in production at scale; expected to remain 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 SDLC.
• 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.
• Demonstrated ability to drive technical decisions with significant autonomy, influence engineers outside a direct reporting line, and communicate effectively with technical leadership.

Responsabilités

• Lead 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 (state, checkpoints, replay, idempotency, compensation, human-in-the-loop) used across the AI/Agentic Engineering team.
• Drive context-engineering and retrieval strategy across multiple workflows: chunking/indexing, memory hierarchies, grounding, and context-window budgeting.
• Lead evaluation strategy: design evaluation systems, curate datasets, define task-success and safety metrics, and establish regression gates in CI and online/shadow evaluation.
• Own production reliability for high-complexity or high-risk agentic systems: latency/cost optimization at scale, rate-limit strategy, graceful degradation, and incident response leadership.
• Set engineering standards through architecture reviews, design docs, and code reviews; identify and resolve systemic technical risk in agent delivery.
• Create reusable agent patterns, SDKs, and evaluation tooling that feed back into 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.

Connaissances

Distributed systems

API development

Agentic architectures

Python

TypeScript

Go

Java

Autonomy

Leadership influence

Formation

Bachelor's degree

Outils

LangGraph

Temporal

Description du poste

Abbott is hiring for a senior engineering role in Illinois focused on production agentic systems and multi-agent architectures. You will direct design, implement, and optimize complex agentic workflows, collaborating with AI Platform teams and product stakeholders to raise technical standards and reliability.

This onsite position emphasizes autonomy, mentoring, and high-stakes delivery in a regulated healthcare technology environment.