Teams at PairSoft

Leads the architecture, development, governance, and rollout of a centralized AI platform across multiple B2B SaaS product lines. Responsibilities include selecting AI technologies, building model gateways and RAG services, establishing security and compliance controls, managing costs and vendors, migrating existing AI capabilities, defining operational standards, and recruiting the AI Platform team. The role requires executive communication, technical due diligence participation, and extensive experience with production LLM systems, cloud-native architecture, and enterprise AI platforms.

Build and operate a central AI platform serving multiple product lines. Responsibilities include model gateways, RAG services, prompt systems, guardrails, observability, evaluation infrastructure, multi-tenant architecture, deployment pipelines, cost attribution, and AI security. The role requires production Python and Go or Java, cloud-native engineering on Azure or AWS, Kubernetes, Terraform, LLM integration, distributed systems, and on-call ownership.

Leads quality assurance activities in an agile environment, including test planning, documentation, validation, defect reporting, regression testing, issue triage, and automation improvements. Partners with development, product, DevOps, automation, and infrastructure teams to improve testing efficiency, scalability, coverage, and defect prevention across multiple products.