Senior LLM / AI Engineer📣 إعلان
| نوع العقد | دوام كامل | |
| طبيعة الوظيفة | بالموقع | |
| الموقع | الرياض |
وصف الوظيفة
About the Role at Ninja
Ninja 🥷🏽 نينجا is seeking a Senior LLM / AI Engineer to join our team in Riyadh. This full-time position is foundational to building and scaling our AI capabilities, focusing on the design, development, and deployment of production-ready agentic AI systems that deliver tangible business impact. The role requires 5-10 years of relevant experience and is suited for a hands-on engineer dedicated to shipping functional production systems.
Core Responsibilities
- Design, develop, and deploy agentic AI systems ready for production environments.
- Contribute to customer care automation initiatives.
- Build and optimize knowledge management pipelines.
- Develop intelligent targeting and decision-making engines.
- Ensure the scalability, reliability, and high performance of all AI solutions.
- Focus on delivering production systems rather than experimental prototypes.
Required Technical Expertise
- Programming: Strong proficiency in Python (*** with production experience in FastAPI services.
- Agentic Workflow Design: Proven experience designing or building multi-step agentic workflows, including understanding the tradeoffs between deterministic state machines/graphs and open-ended ReAct-style agents.
- LLM Integration: Direct experience building against Anthropic and/or OpenAI SDKs in production.
- Data Layer: Comfortable with PostgreSQL, SQLAlchemy (async), Alembic migrations, pgvector, and Redis for session/state management.
- Retrieval Judgment: Understanding of when structured/keyed database lookups are more effective than vector search, and practical experience implementing RAG appropriately.
- Production Discipline: Demonstrated ability to ship systems with real guardrails, including cost controls, latency budgets, escalation/fallback paths, and evaluation loops.
- Prompt Engineering & Evals: Practical experience writing, testing, and iterating on prompts, including building or utilizing evaluation frameworks to catch regressions.
- Observability: Familiarity with LLM observability tools such as Langfuse, LangSmith, Helicone, or equivalents.
Essential Qualifications and Professional Attributes
- Hands-on Builder: Genuine hands-on experience in building and coding, not solely in architecture or management. Ability to walk through personally written code, including decisions and challenges.
- Public GitHub: A public GitHub profile showcasing real, browsable work, including personal projects, open-source contributions, or relevant code samples.
- Ownership & Proactivity: Ability to identify problems and drive solutions independently with minimal oversight, characteristic of a founding role.
- Adaptability: Comfortable working without heavy abstraction layers.
Preferred Skills and Experience
- Experience with LangGraph.
- Exposure to MCP (Model Context Protocol) servers or similar tool-exposure patterns for AI assistants.
- Multilingual experience, particularly with Arabic or other non-English LLM applications, including dialect handling and multilingual evaluations.
Work Location
This full-time position is based in Riyadh. Candidates must either be currently located in Riyadh or willing to work in a hybrid model with regular in-person presence in the city.
متطلبات الوظيفة
- تتطلب ٥-١٠ سنوات خبرة
وظائف مشابهة
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