AI Platorm Software Engineer

Ascensus (https://himalayas.app/companies/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.Ascensus (https://himalayas.app/companies/ascensus) does not provide visa sponsorship now or in the future and does not hire candidates working under OPT.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, we're using a video screening process and coding assessment. To learn more and to help prepare for this click here! (http://careers.ascensus.com/associate-software-engineer-hiring-process) Section 2: Job Functions, Essential Duties and ResponsibilitiesTechnical Support & TriageInvestigate and resolve issues reported by users of Agent AssistReproduce issues and trace failures across:LLM responses and promptsAgent workflows and orchestrationTool/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 DevOpsAI System Debugging & ImprovementIdentify whether issues stem from prompting, retrieval (RAG), tool selection, or backend systemsPropose improvements to agents, skills, prompts, and workflowsUse AI-powered tools (e.g., Cursor) to accelerate debugging, analysis, and solutioningContribute to continuous improvement of system reliability and response qualityUser Enablement & EvangelismTrain internal users on how to effectively use Agent AssistRun targeted demos, onboarding sessions, and office hoursAct as a trusted advisor to client-facing associatesDrive adoption by helping users understand both capabilities and limitationsCross-Functional CollaborationPartner closely with engineering, product, and AI teamsTranslate user issues into clear, actionable tickets and improvementsIdentify recurring patterns and escalate systemic issuesGeneralResponsible for protecting, securing, and proper handling of all confidential data held by Ascensus (https://himalayas.app/companies/ascensus) to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus (https://himalayas.app/companies/ascensus) or our clients.At Ascensus (https://himalayas.app/companies/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)Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, or a related technical fieldDemonstrated ability to troubleshoot and debug technical issues, focusing on root cause analysisFoundational experience or exposure to:API testing (Postman or similar)Reading logs and debugging application behaviorBasic SQL or data inspectionExposure to or strong interest in AI/LLM-based systems (prompting, chatbots, RAG, or agents) through coursework, projects, or hands-on experimentationExperience 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 usersDemonstrated 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. 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 fastExperience supporting or building AI/agent-based