Senior AI Engineer

Job not on LinkedIn

September 11

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $160k - $210k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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Fieldguide

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Artificial Intelligence • Finance • SaaS

Fieldguide is a modern, award-winning AI platform designed for advisory and audit firms. It helps streamline engagements, increase efficiency, and improve client satisfaction through its end-to-end engagement analytics. The platform supports various services, including risk advisory, cybersecurity and privacy, regulatory compliance, SOC readiness and audits, IT audits, and financial audits. Fieldguide integrates with popular productivity and IT tools to provide a seamless user experience, allowing for automated management of requests, documents, and reports. Trusted by top industry firms, Fieldguide enhances the practice of audit and advisory services with AI-driven innovations that save time and improve margins.

11 - 50 employees

🤖 Artificial Intelligence

💸 Finance

☁️ SaaS

📋 Description

• Architect and implement end-to-end solutions that embed large language models into core product • Design retrieval-augmented generation workflows and implement RAG pipelines to ground LLMs in domain-specific data • Integrate and optimize vector databases or embedding stores • Prototype prompts and integrations, implement backend deployment and monitoring for ML features • Ensure AI outputs are accurate, safe, and useful; blend model outputs with deterministic logic • Design infrastructure to support AI features at scale; collaborate with infra/DevOps on microservices, job queues, caching, and monitoring • Define measurable success criteria and build evaluation pipelines including automated tests and human-in-the-loop reviews • Partner with Product, Design, and domain experts; mentor engineers and lead internal knowledge sharing

🎯 Requirements

• 5+ years of software engineering experience, including 1+ year building AI/ML-powered features in production • Strong coding ability in backend languages (Python preferred) and experience with system design for cloud-based services • Hands-on experience integrating LLM APIs or open-source NLP models into live applications • Solid understanding of distributed systems, API design, and asynchronous programming • Familiarity with cloud platforms (AWS or GCP), containers (Docker), and orchestration (Kubernetes) • Practical experience with retrieval-augmented generation, embeddings, and vector databases • Ability to define and monitor evaluation metrics for AI outputs

🏖️ Benefits

• Competitive compensation packages with meaningful ownership • Flexible PTO • 401k • Wellness benefits, including a bundle of free therapy sessions • Technology & Work from Home reimbursement • Flexible work schedules