AI Engineer

Qashio; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

Qashio is seeking an AI Engineer to own the architecture of our AI/LLM systems from design to production. You will build modular platform components, ensure security controls, and collaborate with product teams to ship dependable AI solutions.

The role requires extensive Python backend experience, hands-on work with LangChain and OpenAI agent frameworks, and a strong emphasis on safety, observability, and vendor-neutral design.

Qualifications

• 5+ years of software engineering with strong Python and production backend/API experience.
• Hands-on production experience with LangChain/LangGraph, OpenAI Agents SDK, Microsoft Agent Framework/Semantic Kernel or comparable agent SDKs.
• Experience building permission-aware RAG and ingestion pipelines with LlamaIndex, Haystack or LangChain and vector stores such as pgvector, Pinecone or Qdrant.
• Strong cloud-native engineering fundamentals, plus evaluation and tracing with LangSmith, Arize Phoenix, DeepEval, Ragas or equivalent.
• Hands-on experience implementing guardrails with NVIDIA NeMo Guardrails, Guardrails AI, OpenAI Guardrails or equivalent.
• Experience implementing fine-grained permissions and secure tools/connectors with OPA, OpenFGA, Cedar or equivalent, plus MCP, OAuth/service authentication, least-privilege scopes and approval gates.
• Clear communicator who turns ambiguous problems into scoped milestones, architecture decisions, runbooks and shipped, reliable software.

Responsibilities

• Own the technical architecture of our AI / LLM systems end to end - from framework and tooling choices through to deployment.
• Build reusable platform components: a model gateway, permission-aware RAG, agent orchestration, secure tools/MCP connectors and internal-system integrations.
• Translate security and compliance policy into technical controls for SSO/RBAC, data classification and isolation, PII, secrets, approvals and audit.
• Establish evaluation, observability and release gates covering answer and retrieval quality, safety, cost, latency, reliability and drift.
• Partner with product and business teams to turn priority problems into shipped, dependable solutions, with the right human oversight.
• Keep the architecture modular and vendor-neutral, so we are never locked to a single framework or model provider.

Skills

Python

Backend API design

System ownership

Tools

LangChain/LangGraph

OpenAI Agents SDK

Microsoft Agent Framework

Semantic Kernel

NVIDIA NeMo Guardrails

Job description

Role Overview

At Qashio, we're transforming how businesses manage company spending. We are looking for an AI engineer who turns cutting-edge AI into software people can rely on. You care about quality, safety and doing things properly, and you are happiest owning a hard problem from first design to something running in production.

Responsibilities

• Own the technical architecture of our AI / LLM systems end to end - from framework and tooling choices through to deployment.
• Build reusable platform components: a model gateway, permission-aware RAG, agent orchestration, secure tools/MCP connectors and internal-system integrations.
• Translate security and compliance policy into technical controls for SSO/RBAC, data classification and isolation, PII, secrets, approvals and audit.
• Establish evaluation, observability and release gates covering answer and retrieval quality, safety, cost, latency, reliability and drift.
• Partner with product and business teams to turn priority problems into shipped, dependable solutions, with the right human oversight.
• Keep the architecture modular and vendor-neutral, so we are never locked to a single framework or model provider.

Qualifications And Experience

• 5+ years software engineering, with strong Python and production backend/API experience and ownership of 0-to-1 systems.
• Hands-on production experience with LangChain/LangGraph, OpenAI Agents SDK, Microsoft Agent Framework/Semantic Kernel or comparable agent SDKs, including durable workflows, structured outputs, tool calling and HITL.
• Experience building permission-aware RAG and ingestion pipelines with LlamaIndex, Haystack or LangChain and vector stores such as pgvector, Pinecone or Qdrant, including source ACLs and data isolation.
• Strong cloud-native engineering fundamentals, plus evaluation and tracing with LangSmith, Arize Phoenix, DeepEval, Ragas or equivalent, including CI/CD release gates and incident readiness.
• Hands-on experience implementing guardrails with NVIDIA NeMo Guardrails, Guardrails AI, OpenAI Guardrails or equivalent, covering prompt injection, PII/data leakage, output validation and unsafe tool use.
• Experience implementing fine-grained permissions and secure tools/connectors with OPA, OpenFGA, Cedar or equivalent, plus MCP, OAuth/service authentication, least-privilege scopes and approval gates.
• Clear communicator who turns ambiguous problems into scoped milestones, architecture decisions, runbooks and shipped, reliable software.

Nice-to-have

• Experience handling sensitive data in fintech, banking or another regulated environment (GDPR, data residency, SOC 2 and/or PCI).
• Experience with model gateways, multi-provider routing, LLM cost controls and tracing/evaluation platforms.
• Working knowledge of TypeScript/React, internal developer platforms or multi-tenant SaaS.