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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 distributed systems, API design, and safety controls within regulated environments.
Highest-signal resume keywords
Multi-Agent Systems DesignPython ProgrammingDistributed Systems ExperienceTechnical LeadershipDurable Workflow Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringAPI DesignAgent ArchitectureContext EngineeringEvaluation MetricsTesting and DeploymentObservabilitySafety ControlsLatency OptimizationCost Management
Soft Skills
Effective CommunicationMentoringInfluencing Without AuthorityTechnical Decision-MakingIncident Response
Tools & Technologies
Agent FrameworksModel-Provider APIsAI Platform EngineeringSDK DevelopmentContinuous Integration
Industry Keywords
Health TechMed-TechLife SciencesGxPHIPAAValidationChange-Control ConstraintsResponsible AI
Tech Stack
Tools & technologiesDistributed 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 processes
- 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 and online/shadow evaluation
- Own production reliability for high-complexity or high-risk agentic systems
- Optimize latency and cost at scale and establish rate-limit and graceful-degradation strategies
- Lead incident response
- Set engineering standards through architecture reviews, design documents, and code reviews
- Identify and resolve systemic technical risk 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 Python skills and proficiency in 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 significant autonomy
- Ability to influence engineers outside a direct reporting line
- Effective communication with technical leadership
- Experience with agent frameworks or durable workflow systems and model-provider APIs at scale preferred
- Experience in a highly regulated environment such as health tech, med-tech, or life sciences preferred
- Experience with 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 track record preferred
- Onsite work at an Abbott location in Illinois; not a remote role/opportunity
Benefits
Comp & perks- Career development with an international company
- Free medical coverage in the Health Investment Plan (HIP) PPO medical plan for qualifying employees
- Excellent retirement savings plan with a high employer contribution
- Tuition reimbursement
- Freedom 2 Save student debt program
- FreeU education benefit
- Diverse opportunities and support for career growth