Senior AI Engineer, Applications

Must be located in or near Santa Clara, CA to be considered.

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 looking for an experienced AI Agent Engineer to design, build, and deploy intelligent, autonomous systems that transform how financial operations are automated and optimized. You’ll work with cutting-edge large language models (LLMs) and agent frameworks to build scalable, production-grade AI solutions.

Key Responsibilities

• Design and implement agentic AI systems using Python, LangGraph, and LangChain.
• Architect multi-agent frameworks that automate complex financial workflows with human oversight.
• Integrate agents with enterprise APIs, databases, and tools using advanced function-calling techniques.
• Develop and maintain Model Context Protocol (MCP) servers and Agent-to-Agent (A2A) communication systems.
• Evaluate and implement LLMs (GPT, Claude, Gemini, Llama, etc.) based on performance, cost, and capability.
  Build RAG pipelines, apply prompt engineering, and incorporate multi-modal LLMs for document understanding.
• Implement state machines, memory systems, and adaptive reasoning modules for autonomous behavior.
• Ensure observability and reliability with robust monitoring, evaluation, and debugging systems.
• Collaborate with cross-functional teams to translate business needs into scalable AI solutions.
• Mentor engineers and contribute to internal AI tooling and best practices.

Qualifications

• Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, or related.
• 5+ years of software engineering experience, including 2+ years in AI/ML or agentic AI systems.
• Expert in Python and modern development practices (async programming, type hints, testing).
• Hands-on experience and familiarity with variousLLMs, LangGraph/LangChain, and retrieval-augmented generation (RAG).
• Proven ability to integrate AI systems with enterprise APIs and databases.
• Experience with observability and monitoring tools (e.g., Langfuse, LangSmith, Arize).
• Strong grounding in system design, cloud-native development, and testing practices.

Preferred Qualifications

• Experience with MCP servers/clients, A2A communication, or multi-modal LLMs.
• Background in FinTech, enterprise finance systems, or real-time AI applications.
• Knowledge of fine-tuning (LoRA, QLoRA, PEFT) and responsible AI best practices.
• Familiarity with distributed systems, microservices, and cloud orchestration.

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.