Senior AI Engineer

About Arkham Arkham is a Data & AI Platform that helps large enterprises: Unify fragmented systems and data Build a single source of trusted operational metrics Solve complex challenges with AI tailored to their operations Teams at Circle K and Kimberly-Clark partner with us to deploy AI-powered solutions for sell-out forecasting, pricing and promo analysis, and automated order assignment. With Arkham, they achieve high-impact results fast, creating a strong foundation for long-term AI transformation. About the Role As a Senior AI Engineer , you build and own the systems that power AI at Arkham. Your work spans our in-platform LLM application, used by data analysts and financial analysts at enterprise customers, and the internal agentic frameworks that help our software engineers across the development lifecycle. You’ll have end-to-end ownership: from system design and development through deployment, monitoring, and continuous improvement. You’ll partner with engineering and product to turn complex requirements into reliable software and help shape Arkham’s AI architecture. What You’ll Work On Build and evolve Arkham’s in-platform LLM application, helping enterprise users explore data, perform analysis, and inform business decisions Develop internal agentic frameworks and tools that support code development, testing, review, and CI pipelines Design backend services, APIs, and infrastructure that support AI applications and agent execution Build agentic workflows with tool integration, state management, and failure recovery Establish evaluations and automated testing to measure quality and prevent regressions Own deployment, monitoring, debugging, and ongoing improvement of production systems Improve reliability, latency, and cost across models, tools, and backend services Work with engineering and product to define technical approaches and establish reusable patterns for AI development What We Require 3+ years of professional Python development experience, with a proven track record of shipping and maintaining production applications 2+ years of experience designing and building backend systems, including APIs, databases, and asynchronous workflows Strong software engineering fundamentals, including testing, debugging, version control, and code reviews Experience building reliable services with clear observability, error handling, and monitoring Proven ability to own systems from technical design through deployment and production maintenance Ability to turn ambiguous requirements into practical technical decisions and working software Strong collaboration and communication skills, with the ability to explain architectural decisions and their tradeoffs Nice to Have Hands-on experience developing agentic workflows and execution loops, including tool calling, state management, and failure recovery Experience integrating LLMs into applications, including structured outputs, context management, and external tools or…