Senior Full-Stack Engineer, Agentic AI Applications
Auditoria.AI
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 TeamMates 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:
- 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’re seeking a Senior Full-Stack Engineer focusing on Backend Engineering with strong software engineering expertise to build next-generation enterprise SaaS applications powered by agentic AI and large language models. You’ll work at the intersection of modern enterprise SaaS and cutting-edge AI, focusing primarily on robust backend systems while contributing to full-stack development. This role transforms financial back-office operations through scalable, intelligent solutions with emphasis on data-intensive architectures, API integrations, and AI model orchestration.
Key Responsibilities
- Architect and implement scalable backend services using Python, Node.js (TypeScript), and/or GoLang, handling AI model interactions, multi-agent orchestration, and data processing.
- Develop and optimize RESTful and gRPC APIs for seamless communication between frontend, backend, AI models, and multi-agent systems.
- Design AI-native full-stack applications integrating LLMs using modern protocols (MCP, A2A) with backend-centric approach for efficient data flows.
- Build performant database queries, indexing strategies, and schema designs across SQL (MySQL), NoSQL (MongoDB Atlas), and data warehouses (Snowflake).
- Implement advanced search capabilities including Atlas text searches and embedding-based retrieval for AI-enhanced features.
- Design AI-native workflow management systems enabling complex agentic automation for financial operations.
- Collaborate with AI engineers to integrate and optimize model deployments, focusing on backend scalability and production performance.
- Implement and maintain CI/CD pipelines using Kubernetes and GPU resources.
- Ensure high performance, reliability, and security of AI-integrated backend features including real-time data processing.
- Contribute to frontend development as needed using React.js for AI-powered interfaces and visual workflow designers.
Qualifications
- Bachelor’s or Master’s in Computer Science, Engineering, or related field.
- 5+ years full-stack development experience with strong backend focus using Node.js (TypeScript) and Python.
- Hands-on experience building backend-heavy applications integrating with LLMs (GPT models) or generative AI.
- Proficient with prompt engineering and LLM fine-tuning concepts.
- Strong understanding of Kubernetes microservices architecture, REST APIs, and gRPC.
- Proficiency in modern Python, JavaScript/TypeScript, and associated ecosystems.
- Experience with AWS cloud services, deploying and scaling AI/ML workloads.
- Solid foundation in system design, data modeling, and databases:
- RDBMS (MySQL): query optimization, indexing, transactions
- NoSQL (MongoDB Atlas): schema design, aggregation pipelines, text search
- Data warehouses (Snowflake): performant querying, data modeling
- Understanding of AI/ML concepts, particularly agentic AI applications.
- Experience with multi-tenant SaaS architectures and enterprise system integrations.
- Familiarity with API management tools like Postman.
- Demonstrated experience in complex projects with cross-team collaboration using APIs, microservices, and agile methodologies.
Preferred Qualifications
- Experience implementing AI-native architectures using MCP (Model Context Protocol) and A2A (Agent-to-Agent).
- Proficiency with MongoDB Atlas text searches and embedding-based search systems (vector databases).
- Experience with real-time data processing using AWS Kinesis or Kafka.
Benefits & Perks
- Competitive startup compensation package
- Early-stage equity options
- Comprehensive health benefits
- Unlimited PTO
- Flexible work environment
- Opportunity to shape the future of AI in enterprise finance
- Collaborative, innovation-driven culture
Auditoria.AI is an equal opportunity employer committed to building a diverse and inclusive team. We welcome candidates of all backgrounds passionate about combining cutting-edge AI with practical business solutions.
Please no third party recruitment agencies/vendors at this time, thank you.