AI Engineer at Ruya AI
May no longer be active — verify on the employer site
At a glance
- Company
- Ruya AI
- Location
- United Arab Emirates
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Ruya AI job
- 🏢 Ruya AI has 3 jobs here, 3 with visa sponsorship see all
Updated 2026-11-03, from our data and official sources.
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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.
Key skills
- Python — in 1173 other listings on The Stack
- TypeScript — in 462 other listings on The Stack
- FastAPI — in 91 other listings on The Stack
- Pydantic — in 5 other listings on The Stack
- Asyncio — in 8 other listings on The Stack
- LLM applications — in 2 other listings on The Stack
- Tool use — not in any other listing on The Stack
- Multi-step reasoning — not in any other listing on The Stack
- Prompt engineering
- Langfuse
- Sentry
- OpenTelemetry
- Agent orchestration
- Structured output validation
- Geospatial intelligence
- Entity graphs
On The Stack (as of 2026-11-03)
Frequently asked questions about Ruya AI
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.