Senior LLM / AI Engineer
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Key skills for this role
About the Role
Ninja is seeking a Senior LLM/AI Engineer to design and deploy production-ready agentic AI systems for customer care automation, knowledge management, and intelligent decision-making.
Key Skills for This Role
Responsibilities
- Design, develop, and deploy production ready agentic AI systems
- Work on customer care automation, knowledge management pipelines, and intelligent targeting and decision making engines
- Ensure scalable, reliable, and high performance AI solutions
- Shape the future of AI at Ninja as a founding AI team member
Requirements
- Strong Python (3.11+) with production experience in FastAPI services
- Experience designing or building multi step agentic workflows
- Built directly against Anthropic and/or OpenAI SDKs in production
- Comfortable with PostgreSQL, SQLAlchemy 2.0 (async), Alembic, pgvector, and Redis
- Shipped systems with cost controls, latency budgets, escalation/fallback paths, and evaluation loops
- Familiarity with LLM observability tools (Langfuse, LangSmith, Helicone, or equivalent)
- Practical experience in prompt engineering and eval frameworks
- Public GitHub profile with real, browsable work
- Riyadh based or willing to work hybrid with regular in person presence in Riyadh
- Experience with MCP or similar tool exposure patterns is a strong plus
- Experience with Arabic or other non English LLM applications is a plus
Full Job Posting
Overview
- 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.
- This is a hands on engineering role for someone who enjoys shipping production systems rather than building experimental prototypes.
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 & 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)
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