AI Engineer

AppZen, Inc. • San Jose, CA

1d • $160,000 - $180,000

About The Position

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. 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.

Requirements

• 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

Nice To Haves

• Familiarity with data engineering concepts like data warehouses, streaming data. Specifics like Redshift or Spark are needed.
• Infrastructure engineering and/or devops knowledge on systems such as Kubernetes, AWS.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees