AI Engineer

Hub71; Dubai; On-site; AED 350,000 - 550,000; Full time

Job summary

Qashio is seeking an AI engineer who turns cutting-edge AI into reliable software. You will own complex problems from design to production, with a strong emphasis on quality, safety and robust delivery.

You will architect end-to-end AI/LLM systems, build reusable platform components, enforce security controls, and drive observability and release gates. Collaborating with product teams, you’ll translate priorities into shipped, scalable solutions while keeping the architecture modular and

Qualifications

• 5+ years software engineering with Python and production backend experience.
• Experience with AI/LLM system design and end-to-end ownership.
• Experience building permission-aware RAG and vector stores.
• Strong cloud-native engineering fundamentals including CI/CD and observability.
• Experience implementing guardrails for safety and data privacy.

Responsibilities

• Own the technical architecture of AI/LLM systems end to end.
• Build reusable platform components and integrations.
• Translate security policy into technical controls (SSO/RBAC, data isolation).
• Establish evaluation, observability and release gates for quality, safety and latency.
• Collaborate with product teams to turn priorities into shipped solutions.
• Maintain modular, vendor-neutral architecture.

Skills

Python

Production backend/API

Architectural ownership

LangChain/LangGraph

OpenAI Agents SDK

Security & compliance

CI/CD & observability

HITL / tool calling

MLOps / AI governance

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.