نينجا تعلن عن وظيفة كبير مهندسي LLM / AI في الرياض

We are looking for AI Engineer to join Ninja and play a foundational role in building our AI function. This position is focused on designing, developing, and deploying production-ready agentic AI systems that deliver real business impact. You will work on customer care automation, knowledge management pipelines, and intelligent targeting and decision-making engines, ensuring scalable, reliable, and high-performance AI solutions. This is a hands-on engineering role for someone who enjoys shipping production systems rather than building experimental prototypes, and who is excited to shape the future of AI at Ninja.

Requirements

• Strong Python (3.11+), with production experience in FastAPI services
• Agentic workflow design: Has designed or built multi-step agentic workflows, and understands the tradeoffs between deterministic state machines / graphs and open-ended ReAct-style agents.
• LLM integration: Has built directly against the Anthropic and/or OpenAI SDKs in production.
• Comfortableworking without heavy abstraction layers (we deliberately avoid LangChain in favor of a thin in-house LLM clientwrapper).
• LangGraph experience is a plus.
• Retrieval judgment: Understands when structured/keyed database lookups beat vector search, and hasimplemented RAG when it's actually the right tool
• Data layer: Comfortable with PostgreSQL, SQLAlchemy 2.0 (async), Alembic migrations, pgvector, and Redisfor session/state management.
• Production discipline: Has shipped systems with real guardrails: cost controls, latency budgets,escalation/fallback paths, and evaluation loops
• Familiarity with an LLM observabilitytool (Langfuse, LangSmith, Helicone, or equivalent) is expected.
• Prompt engineering & evals: Practical experience writing, testing, and iterating on prompts, including building orusing eval frameworks to catch regressions.
• MCP / tool-serving: Exposure to MCP (Model Context Protocol) servers or similar tool-exposure patterns for AI assistants is a strong plus.
• Multilingual (nice-to-have): Experience with Arabic or other non-English LLM applications (dialect handling,multilingual evals)
• Public GitHub required: A public GitHub profile with real, browsable work - personal projects, open-source contributions, or code samples they can point to.
• Solid hands-on experience: Genuine hands-on builder, not someone who has only architected or managed.
• They should be able to walk through code they personally wrote line-by-line, including decisions and mistakes.
• Ownership and proactivity. This is a founding role with minimal oversight. We need someone who identifies problems and drives them to done without being told step-by-step what to do.
• Riyadh-based (or hybrid). Based in Riyadh, or willing to work hybrid with regular in-person presence in Riyadh.