About us:
Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.

Target as a tech company? Absolutely. We’re the behind-the-scenes powerhouse that fuels Target’s passion and commitment to cutting-edge innovation. We anchor every facet of one of the world’s best-loved retailers with a strong technology framework that relies on the latest tools and technologies—and the brightest people—to deliver incredible value to guests online and in stores. Target Technology Services is on a mission to offer the systems, tools and support that guests and team members need and deserve. Our high-performing teams balance independence with collaboration, and we pride ourselves on being versatile, agile and creative. We drive industry-leading technologies in support of every angle of the business, and help ensure that Target operates smoothly, securely and reliably from the inside out.

Role Overview
We are looking for a Senior Engineer to build reusable platform capabilities for PIQ, focusing on context building, graph-based retrieval, agent harnesses, and statistical modeling. The role combines software engineering with the development of frameworks that support intelligent applications and AI agents.

Key Responsibilities

• Harness Building & Scaffolding: Develop reusable agent harnesses, frameworks, and project scaffolding for tool integration, workflow execution, testing, and evaluation.
• Context Building: Build capabilities to gather, structure, enrich, and manage context from diverse data sources for applications and AI agents.
• Graph Creation & Graph RAG: Develop graph models and graph-based retrieval-augmented generation workflows to connect information and retrieve relevant context.
• Statistical Modeling & Simulation: Develop and validate models that represent variability, estimate outcomes, and support scenario simulation.
• Platform Engineering: Design scalable APIs and services, own technical delivery, and maintain engineering quality through testing, documentation, and mentoring.

Required Qualifications

• 5+ years of software engineering experience, with proficiency in Python, Java, or a similar programming language.
• Strong foundations in data structures, algorithms, data modeling, SQL, and API development.
• Experience building production-grade services and reusable frameworks, with working knowledge of statistics and modeling.

Preferred Experience
Exposure to AI agent frameworks, context engineering, knowledge graphs, RAG or Graph RAG, and simulation. Familiarity with cloud platforms and enterprise data systems is a plus