FloQast
FloQast
FloQast वित्तीय टीमों के लिए लेखांकन रूपांतरण सॉफ़्टवेयर विकसित करता है। इसका प्लेटफ़ॉर्म लेखाकारों को महीने के अंत की क्लोज़ प्रक्रिया को सुव्यवस्थित और स्वचालित करने, जोखिम एवं अनुपालन संबंधी कार्यप्रवाहों को जोड़ने और रिकॉर्ड-टू-रिपोर्ट गतिविधियों का एक ही वातावरण में समन्वय करने में मदद करता है। सीपीए द्वारा निर्मित FloQast अधिक कुशल लेखांकन संचालन को समर्थन देने और लेखाकारों को रणनीतिक व्यावसायिक साझेदार के रूप में योगदान करने में सक्षम बनाने के लिए एआई का उपयोग करता है। कंपनी FloQademy के माध्यम से पेशेवर शिक्षा और प्रशिक्षण भी प्रदान करती है।

Technical Engineering Manager, Core AI

Lead India-based engineering teams building production AI for FloQast’s accounting automation platform. Guide RAG, agentic workflows, LLMOps, and collaboration across global teams.

विवरण

  • Lead and develop teams of AI software engineers through mentoring, performance management, and ongoing feedback.
  • Shape the architecture and delivery of scalable production AI products, such as chatbots, document processing systems, and agentic workflows.
  • Hire and retain AI engineering talent in India.
  • Partner with product, QA, architecture, security, and global engineering leaders.
  • Build FloQast’s centralized AI platform, including model routing, provider management, and vector search.
  • Promote lean development, Agile methods, and strong LLMOps and DevOps practices.
  • Deliver compliant, observable AI products that integrate with accounting systems and external APIs in a B2B SaaS environment.
  • Report to the VP of Engineering.
  • Set technical standards across FloQast for agentic workflows, model context protocols (MCP), RAG, and LLMOps.
  • Collaborate across the organization to define technical direction for AI workflows and operations.

आवश्यकताएँ

  • Bring at least five years of software engineering management experience, leading teams that delivered complex backend or AI products to paying customers.
  • Have at least five years of experience as a hands-on software engineer.
  • Know Python, backend development, and cloud-native environments; AWS experience is preferred.
  • Be familiar with LLM APIs, retrieval-augmented generation (RAG), conversational AI, and scalable AI system design.
  • Have led distributed teams working across time zones.
  • Bring hands-on experience recruiting and interviewing engineers.
  • Have a strong record of supporting employee performance and career development.
  • Have at least five years of experience working on Agile teams using methods such as Scrum or Kanban.
  • Support automated testing, CI/CD, and DevOps practices.
  • Communicate complex system designs and AI strategy clearly to technical and business stakeholders.
  • The posting does not specify an educational credential.

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