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FloQast
FloQast
501 – 1000 Darbinieki
H1B vīzas sponsorsFinansesMākslīgais intelektsSaaS
FloQast izstrādā grāmatvedības pārveides programmatūru finanšu komandām. Tās platforma palīdz grāmatvežiem racionalizēt un automatizēt mēneša beigu slēgšanas procesu, apvienot risku un atbilstības darba plūsmas, kā arī koordinēt pārskatu sagatavošanas darbības vienā vidē. FloQast, ko izveidojuši zvērināti grāmatveži, izmanto mākslīgo intelektu, lai uzlabotu grāmatvedības operāciju efektivitāti un palīdzētu grāmatvežiem sniegt stratēģisku ieguldījumu kā biznesa partneriem. Uzņēmums nodrošina arī profesionālo izglītību un apmācības, izmantojot FloQademy.
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Vakances uzņēmumā

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.

INIndijaHibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuInženierijas vadītājs
AWSMākonisPython

Apraksts

  • 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.

Prasības

  • 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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