Software Engineer - Applied AI

About Us

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI / ML-based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud, and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines.

Our solutions are used by leading Telecoms, Media Providers, Retail, and Professional Sports organizations across the world. Our novel approach and rapidly expanding footprint put us in the unique position for continued growth to become a category leader. To fuel our growth, we are seeking passionate, high-energy, results-oriented individuals to join our team.

Our mission is to deliver world-class solutions on behalf of the large enterprise. Supported by leading investors, Selector is uniquely positioned to deliver a world-class solution to address large enterprise requirements across the globe.

Selector offers a discretionary PTO policy, health insurance, 401k, the opportunity for a bonus, and more.

Key Responsibilities

• Design, build, and optimize agentic AI systems that power Selector's operational intelligence platform.
• Leverage emerging frameworks (e.g., pydantic-ai, LangChain) and evaluate new agentic AI technologies to accelerate development and maintain cutting-edge capabilities.
• Develop empirical pipelines for measuring and assessing agent performance, ensuring all prompt and model changes are backed by data-driven evidence and quantifiable improvement.
• Implement advanced Natural Language Processing (NLP) techniques to translate natural language queries into complex structured queries against operational data sources.
• Design human-in-the-loop workflows for error detection, correction, and refinement-enabling agents to prompt for clarifications when necessary.
• Build transparent tracking mechanisms for agent thoughts, decisions, and observations throughout iterative task flows to improve interpretability, debugging, and trust.
• Evaluate and apply different agent paradigms (ReAct, reflex, goal-based, utility-based, etc.) to align agent behavior with specific task requirements.
• Collaborate cross-functionally with data engineers, product managers, and customer success teams to ensure AI-driven features align with customer needs and business outcomes.
• Contribute to the evolution of Selector's conversational UX, making agent interactions more natural, reliable, and contextually aware.

Requirements

Compensation