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AI Operations Engineer

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteMid LevelTeam 51-200

Location

Italy

Posted

41 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

AI Operations Engineer

CoreView

Role Description We're looking for an AI Operations Engineer to design, build, and maintain AI-powered agents and automated workflows that streamline internal operations across the company from Support and Finance to HR, Sales Operations, and Product. This is not a traditional software engineering role. You'll work at the intersection of business processes and AI, translating operational bottlenecks into autonomous or semi-autonomous agents that handle transactional, repetitive, and data-intensive work. You'll be the person who makes AI work inside the company, not just as a concept, but as a daily operational tool. Job Responsibilities - Agent Design & Development: - Design, build, deploy, and iterate on internal AI agents using enterprise-grade no-code/low-code agentic workflow platforms. - Implement agents across multiple business functions, including but not limited to: Support, Finance & Accounting, Business Intelligence, HR, Marketing & Content, Product, and Sales & Revenue Operations. - Define agent behaviors, guardrails, escalation paths, and human-in-the-loop checkpoints. - Analyze internal data sources across departments, identify high-value data, and extract the insights each team needs to feed and optimize their agents. - Platform & Infrastructure: - Evaluate, select, and own the company's agentic workflow platform(s) building the foundation that enables other teams to create and manage their own agents over time. - Integrate agents with existing tools and systems (CRM, ticketing systems, ERP, data warehouses, communication platforms, etc.) via APIs, webhooks, and native connectors. - Manage prompt engineering, LLM selection, and model configuration for each agent use case. - Ensure data security, access control, and compliance across all automated workflows. - Enablement & Governance: - Create templates, playbooks, and documentation so domain experts in each department can propose, configure, or co-build agents relevant to their function. - Establish governance frameworks: monitoring, logging, quality assurance, and performance tracking for all deployed agents. - Train internal teams on how to interact with, supervise, and improve agents. - Continuous Improvement: - Stay current on the rapidly evolving AI/agent landscape: new models, frameworks, platforms, and best practices. - Proactively identify new automation opportunities across the organization. - Run experiments and proof-of-concepts to validate new agent use cases before scaling. Qualifications - Proved experience in automation engineering, process automation, or a similar operational-technical role. - Hands-on experience with enterprise-grade no-code/low-code automation platforms. - Strong understanding of LLMs and prompt engineering: you know how to get consistent, reliable outputs from AI models in production contexts. - API integration skills: comfortable connecting disparate systems via REST APIs, webhooks, and middleware. - Process thinking ability to map a business process end-to-end, identify what can be automated, and design the right level of human oversight. - Solid communication skills: you'll work with every department; you need to translate technical capabilities into business language and vice versa. Requirements - Experience with additional enterprise automation platforms (Microsoft Power Automate, ServiceNow, or similar enterprise workflow tools). - Experience with agent frameworks (Agno, LangChain, LangGraph, CrewAI) for more complex use cases that go beyond no-code capabilities. - Familiarity with the broader Microsoft ecosystem (Power Platform, Azure AI Services, Azure AI Foundry). - Scripting/development skills in Python or TypeScript. - Experience with RAG (Retrieval-Augmented Generation) architectures and vector databases. Coreview Values - Ownership Mindset: Take ownership. Drive outcomes. - One Team: One team, one goal, embracing diversity - to achieve more together. - Velocity: Decide fast. Deliver fast. Repeat. - Continuous Improvement: Curiosity drives us. We challenge the status quo. - Customer First: Listen deeply. Solve boldly. - Resilience: Steady under pressure.

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