Qashio

1 day ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Own the end-to-end technical architecture of Qashio’s AI/LLM systems, taking solutions from framework/tooling choices through deployment. Build reusable platform components including a model gateway, permission-aware RAG, agent orchestration, secure tool/MCP connectors, and internal integrations. Translate security and compliance requirements into technical controls (SSO/RBAC, data isolation, PII, secrets). Define evaluation, observability, and release gates for quality, safety, cost, and reliability, partnering with product and business teams to ship dependable solutions with human oversight.

Location: Dubai

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Own the end-to-end technical architecture of Qashio’s AI/LLM systems, from framework and tooling choices through deployment.
•Build reusable platform components such as 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 for answer/retrieval quality, safety, cost, latency, reliability, and drift.
•Partner with product and business teams to ship dependable solutions, including the right human oversight.

Key Requirements

•5+ years of software engineering with strong Python and production backend/API experience, including ownership of 0-to-1 systems.
•Hands-on production experience with LangChain/LangGraph and agent SDKs (e.g., OpenAI Agents SDK, Microsoft Agent Framework/Semantic Kernel), including durable workflows and tool calling with HITL.
•Build permission-aware RAG and ingestion pipelines using LlamaIndex, Haystack, or LangChain and vector stores (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.
•Implement guardrails for safety and compliance (e.g., NVIDIA NeMo Guardrails, Guardrails AI, OpenAI Guardrails) covering prompt injection, PII/data leakage, output validation, and unsafe tool use.

Experience:FintechBankingRegulated environment

Skills:Quality-mindedSafety-focusedClear communicationOwnershipProblem scoping

Tech Stack:PythonLangChainLangGraphOpenAI Agents SDKMicrosoft Agent FrameworkSemantic KernelLlamaIndexHaystackPgvectorPineconeQdrantLangSmithArize PhoenixDeepEvalRagasCI/CDNVIDIA NeMo GuardrailsGuardrails AIOpenAI GuardrailsOPA

Company Brief

Qashio

Provides spend management software for businesses, including corporate cards, expense controls, bill payments, and workflow automation. It helps companies manage purchasing, approvals, and financial visibility from a single platform.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Dubai, United Arab Emirates

Founded: 2021

Website LinkedIn

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Qashio

1 day ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Dubai

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Own the end-to-end technical architecture of Qashio’s AI/LLM systems, from framework and tooling choices through deployment.
•Build reusable platform components such as 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 for answer/retrieval quality, safety, cost, latency, reliability, and drift.
•Partner with product and business teams to ship dependable solutions, including the right human oversight.

Key Requirements

•5+ years of software engineering with strong Python and production backend/API experience, including ownership of 0-to-1 systems.
•Hands-on production experience with LangChain/LangGraph and agent SDKs (e.g., OpenAI Agents SDK, Microsoft Agent Framework/Semantic Kernel), including durable workflows and tool calling with HITL.
•Build permission-aware RAG and ingestion pipelines using LlamaIndex, Haystack, or LangChain and vector stores (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.
•Implement guardrails for safety and compliance (e.g., NVIDIA NeMo Guardrails, Guardrails AI, OpenAI Guardrails) covering prompt injection, PII/data leakage, output validation, and unsafe tool use.

Experience:FintechBankingRegulated environment

Skills:Quality-mindedSafety-focusedClear communicationOwnershipProblem scoping

Company Brief

Qashio

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Dubai, United Arab Emirates

Founded: 2021

Website LinkedIn