Auditoria.AI · 2 weeks ago
Sr. AI Engineer, Agentic Applications
Auditoria.AI is an AI-driven SaaS automation provider for corporate finance that automates back-office business processes. The role involves designing, building, and deploying intelligent, autonomous systems to optimize financial operations using advanced AI technologies.
Artificial Intelligence (AI)FinanceFinTechMachine LearningSaaSSoftware
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
Qualification
Required
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 various LLMs, 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
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
Must be located in or within commuting distance of Santa Clara, CA to be considered
Preferred
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
Competitive compensation package
Early-stage equity options
Comprehensive health and medical 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
Recent News
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