AI Engineer

تعلن Foodics عن حاجتها إلى AI Engineer.

Essential:

Deep software engineering expertise in a modern programming language, prioritizing algorithmic depth over superficial multi-language breadth.

Strong computer science foundations in data structures, algorithms, memory allocation, and concurrent execution patterns.

Practical experience with backend infrastructure: REST/gRPC APIs, relational/non-relational databases, caching tiers, message queues, and distributed systems resilience.

Proficiency with Git, automated testing frameworks, CI/CD pipelines, and writing clean, maintainable software.

Comprehensive mental model of LLM mechanics: context window constraints, tokenization, function calling protocols, non-deterministic behaviors, and hallucination management.

Demonstrated history of delivering full-lifecycle technical projects across production environments, academic work, open source, or side initiatives.

Methodical debugging skills with the ability to articulate systematic troubleshooting methodologies.

Strong technical documentation and written communication skills.

Nice to have: LLM API prototypes, MCP, RAG and vector databases, cloud infrastructure (AWS preferred), Docker/Kubernetes, GenAI security, open-source contributions.

Duties:

Architect and maintain agent infrastructure, including orchestration logic, session handling, state management, and backend service interfaces.

Design robust tool integrations and MCP servers with error recovery handlers.

Implement end-to-end tracing and observability for model calls, retrieval, and tool executions per OpenTelemetry GenAI standards.

Construct evaluation suites, benchmarks, and regression tests.

Perform root cause analysis on runtime failures, loops, context degradation, or hallucinated outputs.

Enforce runtime guardrails, cost thresholds, RBAC permissions, output validation schemas, and human-in-the-loop triggers.

Monitor industry advancements and AI research, sharing technical insights across the engineering organization.