AI Engineer
Summary
Build and own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
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.