AI engineer for restaurant software

Описание: Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. We're looking for a Senior AI Engineer to build and run the agents at the heart of Tebi OS. You'll design, ship, evaluate and scale our Product Agents, along with the data pipelines, tools and infrastructure that make them reliable in production. Задачи: Design, build and operate production agents: orchestration, tool and function calling, memory, multi-step reasoning, and integration with Tebi's backend services Build the data foundations agents rely on, including real-time and batch pipelines over financial and operational data, retrieval layers, and well-modeled datasets agents can query safely and accurately Turn APIs and internal services into well-defined agent tools, and own the contracts between agents and the rest of the platform Set up evaluation for agent behavior: offline eval sets, LLM-as-judge and human review, regression testing on prompt and model changes, and feedback loops that improve agents over time Own observability for agents in production by tracing sessions, tool calls and model calls, and tracking latency, cost, error rates and quality Work with product teams to find where agents can meaningfully improve the customer experience or internal workflows, and say clearly where they can't Make sure agents handle data securely and responsibly, with sensible guardrails, access controls, and protection against prompt injection and data leakage Требования: 7+ years in software engineering, with a solid base in data or ML engineering Hands-on experience building and shipping LLM agents to production, not just prototypes. You've dealt with flaky tool calls, runaway loops, hallucinated arguments and token budgets, and you have opinions on how to handle them. Strong data modeling and data warehousing fundamentals, plus experience with ingestion, transformation and data quality Strong SQL, and experience with pipeline tools (e.g. Airflow, dbt) and analytical or cloud data platforms (e.g. ClickHouse, BigQuery, Snowflake) Experience evaluating and monitoring LLM systems, and an understanding of the full lifecycle from experiment to deployment to ongoing improvement Backend engineering skills: you're comfortable building the API endpoint that exposes an agent's output to the frontend, or the service an agent calls as a tool Clear communication, including the ability to explain trade-offs in latency, cost, accuracy and complexity to product partners A product mindset. You care about how your work lands with users, and you're keen to meet customers face to face to understand their needs. Условия: Start-up Equity Competitive Salary Lunch Provided in Office Team building events Unlimited time off