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Abbott

Staff AI/Agentic Engineer

Abbott

. Lead design and implementation of complex multi-agent systems .

Posted 10/16/2026full-timeChicago • Illinois • United StatesLead💰 $113,300 - $226,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing complex multi-agent systems, with a strong focus on durable workflow design, evaluation strategies, and production reliability. Proficient in Python and experienced in leading technical initiatives while mentoring engineers in a collaborative environment.

Highest-signal resume keywords
Multi-Agent Systems DesignPython ProgrammingDistributed SystemsAgent FrameworksTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAPI DesignWorkflow DesignEvaluation MetricsAgent ArchitectureContext EngineeringDurable StateTesting and DeploymentObservabilitySafety Controls
Soft Skills
Effective CommunicationMentoringAutonomy in Decision-Making
Tools & Technologies
LangGraphTemporalAI Platform Engineering
Industry Keywords
Health TechMed-TechLife SciencesGxPHIPAA

Tech Stack

Tools & technologies
Distributed SystemsJavaPythonSDLCTypeScriptGo

About the role

Key responsibilities & impact
  • Lead design and implementation of complex multi-agent systems
  • Set standards for durable workflow design, including state, checkpoints, replay, idempotency, compensation, and human-in-the-loop workflows
  • Drive context-engineering and retrieval strategy across multiple workflows
  • Lead evaluation strategy, including evaluation systems, datasets, task-success and safety metrics, regression gates, and CI or online/shadow evaluation
  • Own production reliability for high-complexity or high-risk agentic systems
  • Optimize latency and cost at scale, develop rate-limit strategies, and lead graceful degradation and incident response
  • Set engineering standards through architecture reviews, design documents, and code reviews
  • Identify and resolve systemic technical risks in agent delivery
  • Create reusable agent patterns, SDKs, and evaluation tooling 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 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

Requirements

What you’ll need
  • 7–10 years of software engineering experience
  • 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
  • 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
  • Experience with distributed systems, API design, testing, and secure SDLC
  • Experience defining measurable quality, safety, reliability, latency, and cost indicators
  • Bachelor's degree in a related field or equivalent professional experience
  • Ability to drive technical decisions with substantial autonomy and influence engineers outside a direct reporting line
  • Ability to communicate effectively with technical leadership
  • Experience with agent frameworks or durable workflow systems such as LangGraph or Temporal (preferred)
  • Experience in regulated environments such as health tech, med-tech, or life sciences, including GxP, HIPAA, validation, and change-control constraints (preferred)
  • Experience building secure tool-use systems, prompt-injection defenses, human-approval workflows, and responsible-AI controls (preferred)
  • Track record of shipping reusable agent patterns, evaluation tooling, or paved-road capabilities adopted by multiple teams (preferred)
  • Prior informal technical leadership or mentoring experience (preferred)

Benefits

Comp & perks
  • Career development with an international company
  • Free medical coverage in the Health Investment Plan (HIP) PPO medical plan for qualifying employees
  • Retirement savings plan with a high employer contribution
  • Tuition reimbursement
  • Freedom 2 Save student debt program
  • FreeU education benefit toward a bachelor’s degree
  • Diverse opportunities and support for career growth