AI Engineer

About the Role

We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization.

In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases.

Your work will directly impact 200–500 employees and potentially clients, making AI a core productivity multiplier across the organization.

Key Responsibilities

• LLM Application Development: Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs.
• Agent & Tool Orchestration: Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations.
• Context & Memory Management: Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations.
• Reliability & Guardrails: Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies.
• Evaluation & Quality Assurance: Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics.
• Product Expansion: Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations.
• Collaboration: Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals.
• Continuous Innovation: Stay current with advances in LLM systems, agent architectures, and applied AI tooling.

Requirements

• Strong programming skills in Python with experience building production systems.
• Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.).
• Deep understanding of context windows, token limits, multi-turn conversation behavior, tool/function calling, structured outputs (JSON schema), prompt design, and failure modes.
• Experience integrating external APIs into production systems.
• Proficiency in SQL.