Senior Applied AI Engineer (Agentic Systems) needed for a founding-level engineering role at a fast-growing B2B SaaS company in the AI compliance and regulatory technology space. The role focuses on building a safety-focused, deterministic multi-agent orchestration system for enterprise compliance, with hands-on responsibilities in the office in San Francisco. You will design agent reasoning, orchestration, retrieval and memory systems, and production-grade evaluation and reliability frameworks, collaborating with a small senior team to shape the product's technical direction. Key responsibilities include: Agentic Reasoning & Orchestration; Context, Retrieval & Memory Systems; Stateful, Asynchronous Workflows; Evaluation, Safety & Reliability; Asset Understanding Pipeline. Requirements: 7+ years of professional software/ML engineering; proven experience architecting multi-agent AI systems; strong background in LLM development and production deployment of AI systems; experience with RAG pipelines, vector stores, or graph-based retrieval; familiarity with stateful workflow orchestration (e.g., Temporal, Prefect, Airflow) applied to distributed AI workloads; prior startup experience or exposure to regulated industries; ability and willingness to work in-office in San Francisco, CA at least 3 days per week; eligible to work in the United States without visa sponsorship. Nice to have: experience with vision-language models (VLMs), OCR pipelines, or document layout analysis; compliance/regulatory tech background; familiarity with evaluation frameworks for LLM-powered systems; pri

Senior Applied AI Engineer (Agentic Systems) needed for a founding-level engineering role at a fast-growing B2B SaaS company in the AI compliance and regulatory technology space. The role focuses on building a safety-focused, deterministic multi-agent orchestration system for enterprise compliance, with hands-on responsibilities in the office in San Francisco. You will design agent reasoning, orchestration, retrieval and memory systems, and production-grade evaluation and reliability frameworks, collaborating with a small senior team to shape the product's technical direction. Key responsibilities include: Agentic Reasoning & Orchestration; Context, Retrieval & Memory Systems; Stateful, Asynchronous Workflows; Evaluation, Safety & Reliability; Asset Understanding Pipeline. Requirements: 7+ years of professional software/ML engineering; proven experience architecting multi-agent AI systems; strong background in LLM development and production deployment of AI systems; experience with RAG pipelines, vector stores, or graph-based retrieval; familiarity with stateful workflow orchestration (e.g., Temporal, Prefect, Airflow) applied to distributed AI workloads; prior startup experience or exposure to regulated industries; ability and willingness to work in-office in San Francisco, CA at least 3 days per week; eligible to work in the United States without visa sponsorship. Nice to have: experience with vision-language models (VLMs), OCR pipelines, or document layout analysis; compliance/regulatory tech background; familiarity with evaluation frameworks for LLM-powered systems; pri