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Auditoria Ai logo

Lead Software Engineer

Auditoria Ai
Posted May 27, 2026, 9:25 PM UTC
🇮🇳India🏢Hybrid📁Engineering & Development
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About Us We're an AI-driven SaaS automation provider for corporate finance that automates back-office business processes involving tasks, analytics, and responses in Accounts Payable and Accounts Receivable. By leveraging natural language processing, artificial intelligence, and machine learning, based on proprietary small language models and commercial LLMs, Auditoria removes friction and repetition from mundane tasks while automating complex functions and providing real-time visibility into cash performance. Corporate finance and accounting teams use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights. Founded in 2019 and backed by KPMG, Workday Ventures, Dell Technologies, Venrock, Innovius Capital, Sentinel Global, NeoTribe Ventures, Engineering Capital, and Firebolt Ventures, we build AI Team Mates that drive intelligent automation by combining fine-grained analytical orchestration of a company's typical financial and audit workflows with conversational AI, delivering rapid value to the finance/audit back office. We've received numerous awards including: 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. About the Role We are building an AI/ML-enabled SAAS solution to help manage the cash performance of enterprises. You would be working on solving complex problems in the FinTech space. Key Responsibilities Own the design and development of the core areas of Auditoria’s product, leveraging the latest tech stack hosted on AWS cloud. Build and optimize AI-powered features leveraging LLMs, RAG pipelines, and agentic workflows integrated into Auditoria's finance automation platform. Collaborating across multiple teams/timezones to help deliver quality solutions as per roadmap. Partner with business teams to deliver incremental value to clients. Champion Auditoria’s values and tech culture. Qualifications 10+ years of professional, hands-on experience developing and shipping complex software systems. BS or MS in Computer Science or related Engineering degree (preferably from IIT/NIT/BITS). Hands-on experience building applications that integrate LLMs (OpenAI, Anthropic Claude, or similar) into production workflows, prompt engineering, output validation, and cost/latency optimization. Experience with RAG pipelines, vector databases, embedding models, or agentic AI frameworks (LangChain, LangGraph) is a strong plus Worked with many of the following: multi-tenant SaaS, CI/CD environments, monitoring tools, Kubernetes and containers, Istio, workflow engines, data stores (RDBMS, Cassandra, Neo4j), AWS services, integrations with enterprise systems (SSO, email, etc.). Experience with system design & data modeling; familiarity with RDBMS and Big Data. Hands-on experience building applications leveraging AWS services like Step Functions, RDS, Cassandra, Kinesis, and ELK is a big plus. Fluent coding skills in Node.js; working proficiency in Python for AI/ML integration and data pipeline work is a plus Embraces startup setup, can work through unknowns, resource constraints & multiple priorities with creativity & resourcefulness. Experience with the Agile development process and zeal for engineering best practices. Must be located in or near Hyderabad, Telangana to be considered.

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