Teams at Arkham Technologies

Build and own production AI systems, including an enterprise LLM application and internal agentic developer tools. Design backend services, APIs, infrastructure, agent workflows, evaluations, and automated testing. Manage deployment, monitoring, debugging, reliability, latency, and cost optimization while collaborating with engineering and product teams to establish scalable AI architecture and reusable development patterns.

The Forward Deployed Engineer partners with enterprise clients to identify AI opportunities and deliver production-ready solutions. Responsibilities include building forecasting, optimization, clustering, anomaly detection, generative AI, and agent-based systems; defining data and modeling strategies; implementing monitoring, retraining, and governance; and supporting organizational adoption. The role contributes to multiple implementations while collaborating with BI, Finance, Operations, and business stakeholders.

Work with the engineering team to implement backend and frontend features, write tests and documentation, troubleshoot bugs, and help optimize platform performance while learning production-grade practices.