AI Platorm Software Engineer

Ascensus is the leading independent technology and service platform powering savings plans across America providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Section 1: Position Summary

The AI Sofware 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.

Video Interview Process:

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

Section 2: Job Functions Essential Duties and Responsibilities

Technical Support & Triage

• Investigate and resolve issues reported by users of Agent Assist
• Reproduce issues and trace failures across:
• LLM responses and prompts
• Agent workflows and orchestration
• Tool/MCP calls and backend integrations (e.g. Salesforce and internal enterprise applications)
• Analyze logs traces and telemetry (e.g. Langfuse NewRelic logs)
• Clearly document findings and partner with engineering on resolution leveraging Azure DevOps

AI System Debugging & Improvement

• Identify whether issues stem from prompting retrieval (RAG) tool selection or backend systems
• Propose improvements to agents skills prompts and workflows
• Use AI-powered tools (e.g. Cursor) to accelerate debugging analysis and solutioning
• Contribute to continuous improvement of system reliability and response quality

User Enablement & Evangelism

• Train internal users on how to effectively use Agent Assist
• Run targeted demos onboarding sessions and office hours
• Act as a trusted advisor to client-facing associates
• Drive adoption by helping users understand both capabilities and limitations
• Cross-Functional Collaboration
• Partner closely with engineering product and AI teams
• Translate user issues into clear actionable tickets and improvements
• Identify recurring patterns and escalate systemic issues

General

• Responsible for protecting securing and proper handling of all confidential data held by Ascensus to ensure against unauthorized access improper transmission and/or unapproved disclosure of information that could result in harm to Ascensus or our clients.
• At Ascensus we are guided by our Core Values of People Matter Quality First and Integrity Always. They inspire us every day to prioritize an environment of respect for those we serve and one another and should be visible in your actions on a day-to-day.

Section 3: Experience Skills Knowledge Requirements

• Up to 3 years experience in a technical support QA SDET or engineering-adjacent role (including internships co-ops or academic projects)
• Bachelors 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

• Qualified candidates must complete a video interview assessment after applying as the next step to be completed within 7 days of receiving the link. How to prepare: 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. Youll need a smartphone tablet or desktop computer with your camera and microphone enabled. Youll 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

The national average salary range for this role is$65-85k in base pay exclusive of any bonuses and base salary range represents the low and high end of the salary range for this position. 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 etc. For more information please visit all virtual remote positions in order to ensure associates can effectively perform their job duties with no distractions we require an uninterrupted virtual workspace and there is also an expectation of family care being in place during business hours. Additionally there is an internet work speed requirement of 25 Mbps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building then a stronger connection is you are unsure of your internet speed please check with your service provider. Note: For call center roles specifically it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying.

We are proud to be an Equal Opportunity Employer

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