- Best AI-Powered Financial Automation Solution of 2026 by Acquisition International Magazine’s Global Excellence Awards.
- CBInsights Fintech 100 - 2025.
- Global Excellence Awards - Best AI-Driven Finance Automation Platform - 2025 Winner.
- Q3 2024 Constellation ShortList™ for AI-Driven Cognitive Applications for the fifth year in a row.
- The Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI.
- Named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports.
- Technical Leadership: Lead, mentor, and grow a high-performing team of 6-10 full-stack engineers. Provide technical guidance on architecture, design, and development of cloud-native SaaS applications integrating advanced AI/ML features.
- Product Delivery: Own the end-to-end delivery and technical execution of our core product areas, ensuring robust, secure, and scalable systems that exceed customer expectations.
- Collaboration: Partner closely with Product, ML/AI, and Business stakeholders to understand requirements, prioritize work, and deliver solutions aligned with the company roadmap.
- Innovation & Best Practices: Champion engineering best practices, code quality, CI/CD, DevOps, and the use of modern development methodologies (Agile, TDD, code reviews, etc.), including adoption of new AI tools and frameworks.
- Operational Excellence: Ensure reliable operations, monitoring, and maintenance of cloud services (AWS), with an emphasis on security, multi-tenancy, and high availability.
- Team Development: Recruit talented engineers and foster a culture of learning, creativity, and ownership. Provide mentorship, feedback, and growth opportunities to team members.
- Stakeholder Communication: Clearly communicate project status, technical direction, and risks to leadership and cross-functional partners. Should exhibit a dynamic, energetic approach and consistently demonstrate strong responsiveness.
- 2+ years of experience managing engineering teams delivering SaaS products, ideally in B2B/enterprise software.
- 10+ years of hands-on software development work, including leading complex projects.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field from a reputed institute.
- Proven experience with modern full-stack (Node.js, React.js/TypeScript, Python) and AI/ML-enabled solutions (LLMs, generative AI, prompt engineering, RAG, agentic workflows).
- Hands-on experience integrating LLMs and embedding-based retrieval into production SaaS products, including prompt design, evaluation, and guardrails.
- Strong Python programming skills, data structures, OOP, REST APIs (FastAPI), JSON, and shell scripting.
- Expertise integrating with AWS services (or any other commercial Cloud services).
- Strong background in system design, data modeling (RDBMS/NoSQL), and scalable microservices architectures.
- Demonstrated ability to attract, mentor, and lead high-performing and geographically distributed engineering teams.
- Strong project management, agile processes, and product delivery track record.
- Excellent communication and collaboration skills across technical and business audiences.
- Must be located in or near Hyderabad, Telangana to be considered.
- Experience with agent orchestration frameworks such as LangGraph, LangChain, CrewAI, or equivalent.
- Exposure to deep learning frameworks (PyTorch or TensorFlow) for integration and inference workflows.
- Experience in FinTech or Financial domain.
- Familiarity with emerging AI tools and technologies on GenAI.
- Track record of building and scaling engineering organizations at startup/growth-stage companies.
- Familiarity with enterprise integrations (SSO, email, etc.) and multi-tenant SaaS environments.
Skills Required
- 2+ years managing engineering teams delivering SaaS products
- 10+ years hands-on software development experience including leading complex projects
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience with modern full-stack: Node.js, React.js, TypeScript, and Python
- Experience with AI/ML-enabled solutions: LLMs, generative AI, prompt engineering, RAG, agentic workflows
- Hands-on experience integrating LLMs and embedding-based retrieval into production SaaS, including prompt design and guardrails
- Strong Python programming skills, data structures, OOP, REST APIs (FastAPI), JSON, and shell scripting
- Expertise integrating with AWS services or other commercial cloud services
- Strong background in system design, data modeling (RDBMS/NoSQL), and scalable microservices architectures
- Demonstrated ability to attract, mentor, and lead geographically distributed engineering teams
- Strong project management, agile processes, and product delivery track record
- Excellent communication and collaboration skills across technical and business audiences
- Must be located in or near Hyderabad, Telangana
- Experience with agent orchestration frameworks such as LangGraph, LangChain, CrewAI
- Exposure to deep learning frameworks (PyTorch or TensorFlow) for integration and inference
- Experience in FinTech or financial domain
- Familiarity with enterprise integrations (SSO, email) and multi-tenant SaaS environments
- Track record of building and scaling engineering organizations at startup/growth-stage companies
What We Do
Auditoria is redefining the working experience of financial teams. Many businesses still work with manual workflows, disjointed data, and repetitive tasks that make processes slow and cumbersome. With artificial intelligence, natural language understanding, and intelligent automation, Auditoria is designed to deliver on a faster, more predictable, and more accurate financial process. Auditoria’s SmartFinance Platform is a digital workforce for financial operations. It learns processes by analyzing workflows, identifying transactional tasks with the highest volume, and automating them at scale with unmatched consistency and at an enterprise level of controls. It integrates directly into ERPs, CRMs, ticketing, and other systems in order to reduce manual data entry, eliminate duplication, and standardize outcomes. Auditoria automatically tracks receivables and reach out to accelerate collections by collecting, analyzing documentation and send custom, natural language emails. Engagement changes dynamically based on account behavior, leading to better response and payment performance. The company optimizes the accounts payable process, automatically processing invoices, validating invoice data, automating exception handling and approvals, and conducting vendor communication. The result: reduced errors, faster invoice throughput and better visibility into liabilities and payment timing. Auditoria also automates the preparation of documents for audits, internal controls, and regulatory compliance reviews by automatically organizing, collecting, and verifying supporting evidence, reducing the time and effort spent on activities across the financial close cycle. Through use of the platform, companies are reporting less manual effort, stronger working capital positions, faster close cycles, and increased confidence in financial reporting, so that financial teams can focus on analysis, insight, and strategy.
Why Work With Us
Auditoria.ai is unique for its finance focused AI, building intelligent automation designed specifically for accounting teams. Employees can make a direct impact in a fast growing environment that values innovation, teamwork, and customer satisfaction.
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