FloQast razvija programsko opremo za preoblikovanje računovodstva za finančne ekipe. Njena platforma računovodjem pomaga poenostaviti in avtomatizirati zaključevanje poslovnih knjig ob koncu meseca, povezati delovne tokove upravljanja tveganj in skladnosti ter usklajevati dejavnosti od računovodskih evidenc do finančnega poročanja v enem okolju. FloQast, ki so ga ustanovili pooblaščeni računovodje, uporablja umetno inteligenco za učinkovitejše računovodske postopke in računovodjem pomaga prispevati kot strateškim poslovnim partnerjem. Podjetje zagotavlja tudi strokovno izobraževanje in usposabljanje prek FloQademyja.
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.
Opis
- 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.
Zahteve
- 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.