AI Engineer, AppZen

• If you’re passionate about pushing the boundaries of agentic AI and building systems that operate reliably in production, AppZen offers a high-impact environment to do just that
• Experience working on Agentic systems using LLMs, tool calling, model context protocol, tracing observability tools
• Familiarity with Agent orchestration frameworks such as LangGraph, Autogen, or others
• Must be a power user of Agentic coding tools like Claude Code, Cursor, Codex
• Deep understanding of working on asynchronous and streaming system architectures for chat bots and asynchronous agents. Familiarity with tools such as Temporal, and either Python or GO programming languages
• Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques
• Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations
• Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc
• Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful
• Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions
• BS/MS or equivalent experience in Computer Science, Engineering, Machine Learning, or other relevant technical field
• Must have 5+ years of industry experience

Desirable

• We are looking for an AI Engineer to help build and scale our next-generation AI platform, with a strong focus on agentic systems
• In this role, you’ll design and develop intelligent agents powered by LLMs—leveraging tool calling, orchestration frameworks, and advanced context management to enable reasoning, planning, and autonomous decision-making across complex workflows
• You’ll work hands-on with modern agentic stacks (e.g., LangGraph, Autogen), asynchronous and streaming architectures, and production-grade observability to bring scalable, real-world AI systems to life