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6 дней назад

Backend Software Engineer (Agentic AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior/middle/senior
Английский
b2
Страна
SA
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Backend Software Engineer (Agentic AI) (LLM/MCP): Building production-ready agentic AI infrastructure for planning, tool interactions, session handling, and state management with an accent on distributed backend services, observability, and reliability. Focus on designing tool integrations, tracing model and retrieval workflows, building evaluation harnesses, and solving runtime failures, loops, context degradation, and hallucinated outputs.

Location: Riyadh, Riyadh Province, Saudi Arabia; on-site

Company

hirify.global is a restaurant management ecosystem and payment technology provider offering SaaS products across the MENA region.

What you will do

  • Architect and maintain agentic AI infrastructure for orchestration, session handling, state management, and backend service interfaces.
  • Design tool integrations and MCP servers with clear boundaries and comprehensive error recovery.
  • Implement end-to-end tracing and observability for model calls, retrieval, and tool execution using OpenTelemetry GenAI standards.
  • Build evaluation suites, benchmarks, regression tests, and internal harnesses for validating model and behavioral changes.
  • Investigate runtime failures, loops, context degradation, and hallucinated outputs through deep-dive root cause analysis.
  • Enforce guardrails, cost thresholds, RBAC permissions, output schemas, and human-in-the-loop validation triggers.

Requirements

  • Strong software engineering expertise in a modern programming language, with solid foundations in algorithms, data structures, memory allocation, and concurrency.
  • Practical experience with REST or gRPC APIs, databases, caching, message queues, distributed systems, Git, automated testing, and CI/CD.
  • Comprehensive understanding of LLM mechanics, including context windows, tokenization, function calling, non-determinism, and hallucination management.
  • Experience delivering technical projects in production, academic work, open source, or side projects, supported by methodical debugging and technical documentation skills.
  • Engineering excellence is required at every level; candidates may range from early-career developers to senior engineers and software architects.

Nice to have

  • Experience prototyping applications with LLM APIs, MCP, or custom tool integrations.
  • Knowledge of vector database indexing, embeddings, and retrieval-augmented generation pipelines.
  • Experience with AWS, Docker, Kubernetes, telemetry, or infrastructure-as-code tooling.
  • Knowledge of GenAI security, prompt-injection mitigation, and threat modeling.
  • Open-source contributions or community engagement.

Culture & Benefits

  • Inclusive and diverse engineering culture focused on innovation and flexibility.
  • Competitive compensation with bonuses and potential share opportunities.
  • Regular training and an annual learning stipend.
  • Mentorship, autonomy, and challenging technical goals.
  • Collaboration with a team representing more than 30 nationalities across 14 countries.

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