• System Architecture & C# Core Design and build the core automation engine using C# / .NET. • Ensure the code is clean, scalable, and follows modern design patterns (Solid, Clean Architecture). • Solve complex technical challenges, such as compiling code at runtime or handling Windows UI interactions. • AI Integration (Real-world Application) Integrate LLMs (OpenAI, Azure, etc.) into the software workflow. • Design the logic for how the system interacts with AI—focusing on prompt structure, context management, and error handling (Self-healing). • Bridge the gap between "Generative AI" and "Reliable Software Execution." • Leadership & Communication Mentor & Guide: Help other engineers grow. Conduct code reviews and set engineering standards. • Bridge the Gap: Translate technical architecture into clear explanations for PMs and stakeholders. • Collaborate: Work with a mindset of "we" not "I". You are a partner in product decisions.

• Design and implement semantically consistent, scalable 360 data models that integrate data across domains. • Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets. • Write production-quality, testable code in SQL and Python (or equivalent)—delivering performant and maintainable data assets. • Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models. • Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage. • Help define and enforce standards for data modeling, documentation, and governance within the semantic layer. • Collaborate across teams to integrate with ingestion, MDM, and data product layers.

• Develop and maintain our data lake platform and related services. • Write and test high-quality, reliable code for data pipelines and platform components. • Collaborate with senior engineers to understand design and architecture principles. • Participate in code reviews to learn from and contribute to the team's engineering standards. • Help troubleshoot and resolve issues in development and production environments. • Contribute to the documentation of our platform, systems, and tools. • Demonstrate a strong passion for continuous learning and improving technical skills.

• Collaborate with Product and Design to break down ambiguous problems into clear requirements and thoughtful technical decisions. • Own the entire development cycle, from ideation to deployment - across our React/Node stack. • Participate in on-call rotations, tech-spec reviews, and code reviews. • Continuously improve engineering practices, suggesting and delivering enhancements across both frontend and backend codebases. • Help grow the team by interviewing and mentoring engineers. • Drive projects forward in a high-velocity, resource-constrained environment where requirements may be lightly defined. • Proactively create clarity, seek support from stakeholders, and occasionally wear a product hat to keep initiatives moving. • Work fluidly across frontend and backend technologies, including React, TypeScript, Next.js, Node.js, Vercel, and modern tooling. • Design APIs, architect data models, and implement UI components that scale. • Offer thoughtful feedback on technical designs and code reviews. • Advocate for high-quality technical decisions and best practices, helping to set the standard for Air’s engineering culture.