Job summary
AI Engineer at Foodics in Riyadh responsible for building agentic AI infrastructure. The role develops backend services, state management, tool integrations and observability to run production-ready AI agents reliably.
Key responsibilities
- Design and maintain agent infrastructure including orchestration, session and state management.
- Build robust tool integrations and MCP-compatible service interfaces.
- Implement end-to-end tracing and observability for model and tool calls.
- Create evaluation suites, benchmarks and regression tests for model iterations.
- Conduct root-cause analysis for runtime failures, loops and hallucinations.
- Enforce runtime guardrails, cost controls, RBAC and validation schemas.
- Develop tracing and telemetry aligned with OpenTelemetry GenAI standards.
- Monitor AI research and share architectural insights across engineering teams.
Requirements
- Strong software engineering in a modern programming language.
- Solid CS fundamentals: data structures, algorithms, memory and concurrency.
- Experience with backend infra: REST/gRPC, databases, caching, message queues.
- Proficiency with Git, automated testing and CI/CD.
- Deep understanding of LLM mechanics and context constraints.
- Proven delivery of full-lifecycle production projects.
- Systematic debugging and clear technical documentation.
Benefits
- Inclusive, diverse culture with flexible in-office and hybrid options.
- Competitive compensation, bonuses and potential equity.
- Regular training and annual learning stipend for professional growth.
- Work with a multinational team and strong mentoring opportunities.
Skills
Distributed systemsgRPCREST APIsOpenTelemetryCI/CDDockerKubernetesVector databasesDebuggingGit
Source: Workable. Last checked as open: 14 Nov 2026. You apply directly with the employer.
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