# AI Engineer at Ruya AI

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and implement agent orchestration

- **Company:** Ruya AI (https://jobs.trythestack.co/companies/ruya-ai)
- **Location:** United Arab Emirates
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, TypeScript, FastAPI, Pydantic, Asyncio, LLM applications, Tool use, Multi-step reasoning, Prompt engineering, Langfuse, Sentry, OpenTelemetry, Agent orchestration, Structured output validation, Geospatial intelligence, Entity graphs
- **Posted by employer:** 2026-08-06
- **Added to The Stack:** 2026-08-07
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.eu.greenhouse.io/ruyaai/jobs/4944197101 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/ai-engineer-ruya-ai

## About the role

Responsibilities:
- Design and implement agent orchestration, subagent delegation, tool-calling, and structured output pipelines for multi-modal intelligence agents.
- Build asynchronous services using Python/TypeScript with FastAPI, Pydantic, and asyncio to operate reliably at scale.
- Develop LLM pipelines: prompt/context management, memory and token strategies, and safe tool integrations.
- Implement safeguards against prompt injection, data leakage, and unsafe tool behavior.
- Create behavioral evaluations, regression datasets, and tracing for model calls and tool execution (Langfuse, Sentry, OpenTelemetry).
- Diagnose failures across models, tools, data sources, and distributed services; collaborate with AI and engineering teams to iterate.

Requirements:
- Strong production experience in Python and asynchronous programming; experience with FastAPI/Pydantic preferred.
- Practical experience building LLM applications that use tools and multi-step reasoning.
- Familiarity with structured output validation, non-deterministic system testing, and empirical evaluation of AI behavior.
- Understanding of prompt injection risks, sensitive-data exposure, and mitigation strategies.
- Ability to trace, measure, and debug model and orchestration failures across distributed systems.
- Preferred: experience with MCP, Langfuse, LiteLLM/Anthropic-compatible APIs, agent memory/graph systems, geospatial intelligence, or model fine-tuning/RAG techniques.

## Responsibilities

You will design and build agent systems, tool integrations, and evaluation pipelines for multi-modal intelligence agents. This involves building asynchronous services, managing prompt and memory strategies, and implementing safeguards against data leakage and prompt injection.

## Requirements

Candidates must have strong production experience in Python and asynchronous programming, along with expertise in building LLM applications. You should be capable of evaluating AI behavior empirically and diagnosing failures across distributed services.

## FAQ

- **Is this AI Engineer role still open?** It was posted on 2026-08-06. Listings more than 30 days old may no longer be active, so check Ruya AI's site before applying.
- **Does Ruya AI offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Ruya AI's site.
- **Where is this role located?** The listing gives the location as United Arab Emirates. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, TypeScript, FastAPI, Pydantic, Asyncio, LLM applications, Tool use, Multi-step reasoning, Prompt engineering, Langfuse, Sentry, OpenTelemetry, Agent orchestration, Structured output validation, Geospatial intelligence, Entity graphs.

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## Notes for agents

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