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.
- Collaborative, fast-paced culture with room to grow and make an impact.
Location: Bucharest
Working model: Primarily office-based during onboarding, followed by a hybrid setup.
Skills Required
- 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
What We Do
FlowX.AI is the first multi-agent modernization platform built specifically for banking and financial services. With advanced AI and a robust, flexible end-to-end platform, FlowX.AI can tackle any modernization challenge - from legacy integration to urgent application rebuilds to full bank transformations - driving efficiency, cutting costs and keeping the most complex banking systems 100% compliant. All banks are somewhere on their modernization journey. Wherever you are, with whatever tech you have in place, FlowX.AI seamlessly integrates with existing systems to accelerate modernization roadmaps and drive real results without disruption
