Senior LLM / AI Engineer

Posted 7 Days Ago
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Riyadh, SAU
In-Office
Senior level
eCommerce • Food • Logistics • Retail
The Role
Design, build, and deploy production-ready agentic AI systems for customer care automation, knowledge management, and intelligent decision engines. Integrate LLMs (OpenAI/Anthropic), design multi-step agentic workflows, implement appropriate retrieval (RAG vs DB lookups), maintain data layer (Postgres, pgvector, Redis), enforce production guardrails, use LLM observability tools, and iterate prompts and evals. Hands-on ownership with public GitHub and Riyadh-based hybrid presence.
Summary Generated by Built In

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
  • 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.

Skills Required

  • Strong Python (3.11+) with production experience in FastAPI services
  • Designed or built multi-step agentic workflows and understands tradeoffs between deterministic graphs and ReAct-style agents
  • Built LLM integrations in production against Anthropic and/or OpenAI SDKs
  • Comfortable working without heavy abstraction layers
  • LangGraph experience
  • Understands when structured/keyed DB lookups beat vector search and has implemented RAG appropriately
  • Comfortable with PostgreSQL, SQLAlchemy 2.0 (async), Alembic migrations, pgvector, and Redis for session/state management
  • Experience shipping production systems with guardrails: cost controls, latency budgets, escalation/fallbacks, evaluation loops
  • Familiarity with an LLM observability tool (Langfuse, LangSmith, Helicone, or equivalent)
  • Practical prompt engineering and evals experience, including building or using eval frameworks
  • Exposure to MCP / model context / tool-serving patterns
  • Experience with multilingual LLM applications (Arabic or other non-English)
  • Public GitHub profile with real, browsable work
  • Hands-on builder able to walk through personally written code line-by-line
  • Ownership and proactivity; ability to work with minimal oversight in a founding role
  • Based in Riyadh or willing to work hybrid with regular in-person presence in Riyadh
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The Company
Year Founded: 2022

What We Do

Ninja is an online supermarket and delivery platform founded in 2022 in Riyadh, Saudi Arabia. It provides a wide range of products, including groceries, beauty, and household essentials, delivered in under 30 minutes through a network of dark stores. The company operates across Saudi Arabia and has expanded its services to other GCC countries, focusing on speed, reliability, and convenience for its customers.

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