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Floqast

Cloud-based close management software for reconciliation

Staff AI Engineer - AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of professional software engineering experience, including at least 4 years building backend for production applications.
  • Mastery of Python and familiarity with AI application frameworks, context engineering, and scalable system design for AI products.
  • Expertise designing products that integrate multiple technologies, APIs, and data sources in cloud-native environments; AWS is preferred.
  • A strong desire to develop deep hands-on experience with large language model APIs, retrieval-augmented generation, conversational AI, document processing, and Model Context Protocol integrations.
  • Ability to lead technical product initiatives, establish technical standards, and communicate complex system designs to technical and business stakeholders.

Responsibilities

  • Architect and lead development of production AI products, including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks.
  • Design and implement a centralized AI platform with model routing, provider management, vector search, AI application frameworks, and seamless Model Context Protocol integrations.
  • Build scalable AI products that integrate with accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability.
  • Apply context engineering and system design for AI applications, including information retrieval, context assembly, and multi-turn conversation management.
  • Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space.
  • Provide technical leadership and mentorship to the AI team, establishing best practices for AI product development, deployment, and governance.

Desired Qualifications

  • Experience building chatbots or conversational AI products in production.
  • Background in system integration, API design, or enterprise software platforms.
  • Familiarity with accounting workflows and financial data processing.
  • Experience with AI observability, debugging tools, and production AI monitoring.
  • Hands-on experience with advanced retrieval-augmented generation architectures, reranking systems, and retrieval optimization techniques.
  • Knowledge of reinforcement learning from human feedback or other reinforcement learning techniques for improving AI product performance.
  • Experience building AI platform components such as embedding pipelines, semantic search systems, or multimodal processing frameworks.

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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