Enterprise AI and automation services built on AWS and LLM infrastructure
SAN R&D is a 15-year-old R&D services firm (founded 2024 as a separate entity, operating under a longer parent heritage) scaling rapidly with a heavily engineering-focused hiring mix—14 of 17 open roles are engineering positions, all at senior/lead level. Their tech stack is almost entirely AWS (Lambda, ECS, EKS, RDS, Aurora, DynamoDB, OpenSearch) paired with modern AI tooling (Bedrock, OpenAI, Anthropic, LangChain, LangGraph, Pinecone, FAISS), and active projects center on GenAI-driven automation: RAG pipelines, agentic workflows, and Slack-to-Jira integration. The gap between stated specialties (precision farming, IoT, healthcare, information security) and current project velocity suggests they are actively pivoting their delivery model toward AI-augmented enterprise platforms.
SAN R&D is a technology services and R&D firm headquartered in Fremont, California, operating as a 11–50-person team focused on enterprise digital transformation, cloud infrastructure, and emerging AI capabilities. Their public positioning claims 75+ clients across 5+ countries with 300+ prior projects; current delivery is anchored in AWS cloud architecture, generative AI integration, and automation solutions. Active projects span from GenAI solution architecture (LLM + RAG pipelines) to support operations automation and multi-region cloud environment design. Reported pain points—ticket quality, manual effort, automation reliability, and legacy system modernization—align with a service delivery model transitioning from custom development toward AI-assisted and automated workflows.
AWS-native (Lambda, ECS, EKS, RDS, Aurora, DynamoDB, OpenSearch), generative AI (Bedrock, OpenAI, Anthropic), vector search (Pinecone, FAISS), Python/Java/Go, and orchestration tools (LangChain, LangGraph, Terraform).
GenAI solutions with RAG pipelines, agentic workflow development, Slack-to-Jira automation, enterprise platform integration, and multi-account AWS environment design.
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