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Floqast

Cloud-based close management software for reconciliation

AI Engineering Manager - Core AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • At least 5 years of software engineering management experience, including leading teams delivering complex backend or AI products to paying customers.
  • At least 5 years of individual-contributor experience as a software engineer, with a strong background in Python, backend development, and cloud-native environments; AWS is preferred.
  • Familiarity with large language model APIs, retrieval-augmented generation, conversational AI, and scalable system design for AI products.
  • Proven experience leading and managing geographically distributed teams and driving alignment across time zones.
  • Hands-on experience recruiting and interviewing engineering personnel, with a strong track record of managing individuals’ performance and career growth.
  • At least 5 years working on teams using Agile methodologies such as Scrum and Kanban, with a commitment to automated testing, continuous integration and continuous delivery, and DevOps practices.
  • Ability to communicate complex system designs and AI strategies to technical and business stakeholders.

Responsibilities

  • Lead, manage, mentor, and develop teams of AI software engineers; support team members’ career paths through coaching, performance management, and continuous feedback.
  • Guide the architecture and delivery of scalable production AI products, including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks.
  • Recruit, interview, and retain AI engineering talent to build Core AI capabilities in India.
  • Collaborate with product managers, quality assurance, architecture, security, and global engineering leaders to design and implement a centralized AI platform for model routing, provider management, and vector search.
  • Cultivate an engineering culture of innovative, egoless, high-trust problem solving; champion lean software development, Agile principles, and robust LLMOps and DevOps practices for AI systems.
  • Ensure the team builds robust, compliant, and observable AI products that integrate with accounting systems and external APIs in a B2B SaaS environment.

Desired Qualifications

  • Experience managing managers of software engineering teams.
  • Hands-on experience with advanced retrieval-augmented generation architectures, reranking systems, semantic search systems, or AI observability and monitoring tools.
  • Experience working on B2B SaaS products, particularly in the financial or accounting space.
  • Familiarity with the MongoDB, Express, React, and Node web stack to facilitate integration between AI services and core applications.
  • Knowledge of model context protocols or reinforcement learning techniques such as reinforcement learning from human feedback.

About the Company

Floqast

Cloud-based close management software for reconciliation

FloQast provides a cloud-based financial close management platform for mid-sized to large enterprises. It helps accounting teams streamline and automate the close process by connecting to ERP systems and Excel workbooks to automate reconciliations, validate general ledger balances, and organize documents for audits. Built-in flux analysis helps explain material changes in financial data. The product is delivered via a subscription model and is designed to be quick to implement, with full setup and training possible within two weeks. FloQast differentiates itself through tight ERP/Excel integration, a focus on collaborative, auditable closing workflows, and features that simplify reconciliation and audit preparation. The goal is to make the financial close faster, more accurate, and easier to audit, reducing manual effort for accounting teams.

Company size
501-1,000
Company stage
Series E
Total funding
$302.9M
Headquarters
Los Angeles, CA
Founded
2013

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