„FloQast“ kuria apskaitos transformavimo programinę įrangą finansų komandoms. Jos platforma padeda buhalteriams supaprastinti ir automatizuoti mėnesio pabaigos uždarymo procesą, sujungti rizikos valdymo ir atitikties darbo eigas bei koordinuoti ataskaitų rengimo veiklą vienoje aplinkoje. CPA kvalifikaciją turinčių specialistų sukurta „FloQast“ naudoja dirbtinį intelektą, kad apskaitos operacijos būtų efektyvesnės, o buhalteriai galėtų prisidėti kaip strateginiai verslo partneriai. Įmonė taip pat teikia profesinį švietimą ir mokymus per „FloQademy“.
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.
Aprašymas
- 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.
Reikalavimai
- 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.