AI Ops Engineer
TLDR
This role focuses on building, deploying, and operating AI agents to improve workflows across various teams, ensuring measurable business impact through innovative AI solutions.
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.
Benefits
Remote-Friendly
Working model: Primarily office-based during onboarding, followed by a hybrid setup.
FlowX.AI provides an AI-native multi-agent platform specifically designed for the banking and insurance sectors, enabling these institutions to rapidly build and scale mission-critical AI applications. With over 140 production-ready agents and seamless integration into legacy systems, FlowX.AI empowers both large financial organizations and smaller institutions to harness advanced AI capabilities securely and efficiently.