AI Ops Engineer

FlowX.AI is an AI-native multi-agent platform that helps banks and insurers build and deploy mission-critical AI agents - fast, secure, and at scale.

We just launched FlowX.AI 5.0 with 140+ production-ready agents for banking and insurance. Gartner put us in their 2025 Digital Banking Market Guide. Clients include OTP, Unicredit, State Street (world's largest custodian bank), and Legal & General, but also many small banks and mid-market logistics companies.

Mission

We are looking for an AI Ops Engineer to drive internal AI leverage across FlowX.AI.

This is a high-impact role focused on building, deploying, and operating AI agents and automations across Sales, Customer Success, Marketing, People, and Operations. You’ll work directly with stakeholders to identify high-value workflows, rapidly ship solutions, and ensure they deliver measurable business impact.

What you will do on a daily basis

• Build and operate AI agents that automate high-value workflows across GTM and internal teams
• Partner directly with stakeholders to identify opportunities and turn them into production-ready solutions
• Develop AI-powered workflows using LLMs, RAG systems, APIs, vector databases, and enterprise tools
• Monitor, troubleshoot, and continuously improve agents in production
• Experiment with new AI technologies and frameworks to improve productivity and automation capabilities
• Collaborate closely with FlowX.AI’s Engineering and AI teams to leverage and extend our platform capabilities

Very likely you can be successful if you have

• Experience building production-grade AI agents, automations, or AI-powered workflows
• Hands-on experience with LLMs, RAG, APIs, vector databases, and modern AI tooling
• Strong programming skills in Python and/or TypeScript/JavaScript
• Ability to translate business problems into practical AI solutions
• Comfortable working directly with non-technical stakeholders
• Strong ownership mindset and ability to ship independently
• Experience in startup or high-growth environments is a plus

Nice to have:

• Experience with LangChain, Semantic Kernel, CrewAI, MCP, or similar frameworks
• Familiarity with sales and customer success workflows (MEDDPICC, BANT, Challenger, Gap Selling)
• Experience building internal productivity or GTM-focused automations

What's in it for you

• Direct impact on how the company scales and delivers multi-million-dollar enterprise transformation deals.
• Competitive compensation with an early-stage equity package 
• Work alongside an ambitious leadership team driving category creation in enterprise AI.