AI Engineer

AppZen • San Jose, CA

1d • $160,000 - $180,000

About The Position

AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. At AppZen, we value candidates who are actively using AI tools to enhance productivity, automate repetitive tasks, and solve problems more efficiently. Across all roles, we are looking for team members who leverage AI in meaningful ways to drive impact in their work. To learn more, visit us at www.appzen.com . Must-Have: 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-Have: 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. $160,000 - $180,000 a year AppZen is committed to fair and equitable compensation practices. The base pay range for this role is posted above. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. You can find our Privacy Notice linked on the bottom of our appzen.com website. We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

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