Senior Llm / Ai Engineer

Job description

We are looking for an 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

Comfortable working without heavy abstraction layers

LangGraph experience is a plus

Retrieval judgment: understands when structured/keyed database lookups beat vector search, and has implemented RAG when it’s actually the right tool

Data layer: comfortable with PostgreSQL, SQLAlchemy 2.0 (async), Alembic migrations, pgvector, and Redis for 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 observability tool (Langfuse, LangSmith, Helicone, or equivalent) is expected

Prompt engineering and evals: practical experience writing, testing, and iterating on prompts, including building or using 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