AI Platform Software Engineer

Role Description

The AI Software Engineer supports and scales adoption of the enterprise AI platform by troubleshooting AI behavior, identifying systemic gaps, and driving continuous improvement in platform performance and usage. This role works directly with internal associates to resolve issues and partners closely with engineering teams to diagnose root causes across LLMs, agent workflows, tools (MCP), and backend systems. Positioned at the intersection of technical support, product enablement, and AI system operations, this role goes beyond traditional support to actively improve how the platform operates and is used.

As part of our Software Engineer hiring efforts, we're using a video screening process and coding assessment. To learn more and to help prepare for this, click here!

Qualifications

• Up to 3 years’ experience in a technical support, QA, SDET, or engineering-adjacent role (including internships, co-ops, or academic projects)
• Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, or a related technical field
• Demonstrated ability to troubleshoot and debug technical issues, focusing on root cause analysis
• Foundational experience or exposure to:
  • API testing (Postman or similar)
  • Reading logs and debugging application behavior
  • Basic SQL or data inspection
  • Exposure to or strong interest in AI/LLM-based systems (prompting, chatbots, RAG, or agents) through coursework, projects, or hands-on experimentation
  • Experience using or willingness to learn AI-powered development tools (e.g., Cursor, Claude Code)
• Strong communication skills with the ability to translate technical issues into clear explanations for non-technical users
• Demonstrated curiosity and ability to learn quickly in a fast-evolving technical environment

Requirements

• Qualified candidates must complete a video interview assessment after applying as the next step, to be completed within 7 days of receiving the link.
• Set aside 40-45 minutes for the self-guided assessment that includes games and questions.
• Find a quiet place to record and be camera-ready.
• You’ll need a smartphone, tablet, or desktop computer with your camera and microphone enabled.
• You’ll answer questions to share your skills and experience and bring your personality to the interview.
• This step accelerates the interview process, moving qualified candidates to hiring manager interview fast.
• Experience supporting or building AI/agent-based applications is preferred.
• Familiarity with the following is preferred:
  • Retrieval-Augmented Generation (RAG)
  • Tool/agent orchestration
  • Prompt engineering

Benefits

• The national average salary range for this role is $65-85k in base pay, exclusive of any bonuses and benefits.
• Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment.
• We do not anticipate that candidates hired will begin at the top of the range; however, from time to time, it may occur on a case-by-case basis.
• Other rewards and benefits may include:
  • 401(k) match
  • Medical, Dental, Vision
  • Paid-Time-Off
• For more information, please visit careers.ascensus.com/#Benefits .