Sr Engineer

• 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