Senior AI & Agentic Systems Engineer

Abbott; United States; On-site; USD 113,000 - 227,000; Full time

Job summary

Abbott in Illinois seeks a senior individual-contributor engineer to set technical direction for production agentic systems, leading design of complex multi-agent solutions and establishing reusable patterns with strong autonomy.

You’ll mentor engineers, define standards, collaborate with AI Product Managers and Platform Engineering, and own reliability, latency, and cost at scale while driving architectural decisions and delivering safe, scalable solutions.

Qualifications

• 7–10 years of software engineering experience in distributed, API-driven production systems.
• Hands-on production experience with agentic/LLM-based applications at scale.
• Strong Python skills and proficiency in TypeScript/Go/Java.

Responsibilities

• Lead design and implementation of complex multi-agent systems with clear boundaries and failure handling.
• Set standards for durable workflow design (state, checkpoints, replay, idempotency, compensation, human-in-the-loop).
• Drive context-engineering and retrieval strategies across multiple workflows (chunking/indexing, memory hierarchies, grounding, 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, 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.

Skills

Python

Distributed systems

API design

Tool calling

Context engineering

Evaluation

Observability

Safety controls

Leadership communication

Education

Bachelor's degree in a related field

Tools

LangGraph

Temporal

LLM frameworks

Job description

Abbott in Illinois seeks a senior individual-contributor engineer to set technical direction for production agentic systems, leading design of complex multi-agent solutions and establishing reusable patterns with strong autonomy.

You’ll mentor engineers, define standards, collaborate with AI Product Managers and Platform Engineering, and own reliability, latency, and cost at scale while driving architectural decisions and delivering safe, scalable solutions.