Senior LLM / AI Engineer

Job Description Roles & Responsibilities 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. Desired Candidate Profile 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 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. Company Industry InternetE-commerceDotcom Department / Functional Area IT Software Keywords Senior LLM / AI Engineer Get real-time job updates only on our App