Auditoria.AI · 1 week ago
Senior Full-Stack Engineer, Agentic AI Applications
Auditoria.AI is an AI-driven SaaS automation provider for corporate finance that focuses on automating back-office business processes. The Senior Full-Stack Engineer will be responsible for building next-generation enterprise SaaS applications powered by agentic AI and large language models, focusing on robust backend systems and contributing to full-stack development.
Artificial Intelligence (AI)FinanceFinTechMachine LearningSaaSSoftware
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
Qualification
Required
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
Must be currently authorized to work in the United States without employer sponsorship, as we are unable to sponsor or transfer visas for this position
Preferred
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
Comprehensive health benefits
Generous PTO policy
Flexible work environment
Opportunity to shape the future of AI in enterprise finance
Collaborative, innovation-driven culture
Company
Auditoria.AI
Auditoria is a saas provider of ai-driven cognitive automation to help companies accelerate cash performance and transform the back office.
Funding
Current Stage
Growth StageTotal Funding
$59.5MKey Investors
Innovius CapitalKPMGVenrock
2025-02-24Series B· $38M
2023-09-27Series Unknown
2021-03-31Series A· $15.5M
Leadership Team
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