Sr Engineer

Overview

Build reusable platform capabilities for PIQ, covering context building, graph-based retrieval, agent harnesses, and statistical modeling, combining software engineering with frameworks that support intelligent applications and AI agents.

What you'll do

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

What you'll need

• 5+ years of software engineering experience.
• 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.
• Working knowledge of statistics and modeling.

Nice to have

• Exposure to AI agent frameworks, context engineering, knowledge graphs, RAG or Graph RAG, and simulation.
• Familiarity with cloud platforms and enterprise data systems.