T
AI Engineer
Contract type
Ongoing
Work mode
Remote
Experience
Senior · 7+ years
Job description
A Senior AI Engineer role at Tebi to build and run the LLM-powered agents at the heart of Tebi OS, along with the data pipelines, tools and infrastructure that make them reliable in production. The role works closely with product and engineering to bring intelligence to hospitality teams.
At a glance
- Work mode
- Remote
What you'll do
- 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
What we're looking for
- 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
- 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: 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, caring about how work lands with users and keen to meet customers face to face to understand their needs
Benefits
- Start-up Equity
- Competitive Salary
- Lunch Provided in Office
- Team building events
- Unlimited time off
Apply
Direct apply at Tebi
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About Tebi
The first Connected Restaurant Management System that makes hospitality flow
Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it in one seamless platform, creating smooth service and intuitive insights.
Key facts
- Restaurant software
- Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing
- It's a €4 Trillion+ global market and a critical part of everyday life in today's economy
What they value
- Independent
- Curious
- Passionate about hospitality