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.Ascensus does not provide visa sponsorship now or in the future and does not hire candidates working under OPT.Section 1: Position SummaryThe 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!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 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)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 environmentQualified 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 applications is preferredFamiliarity with the following is preferred:Retrieval-Augmented Generation (RAG)Tool/agent orchestrationPrompt engineeringThe national average salary range for this role is =$65-85k in base pay, exclusive of any bonuses and benefits. This 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 careers.ascensus.com/#Benefits.For 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 required. If 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 EmployerBe aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.comemail addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.Originally posted on Himalayas

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 does not provide visa sponsorship now or in the future and does not hire candidates working under OPT.Section 1: Position SummaryThe 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!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 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)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 environmentQualified 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 applications is preferredFamiliarity with the following is preferred:Retrieval-Augmented Generation (RAG)Tool/agent orchestrationPrompt engineeringThe national average salary range for this role is =$65-85k in base pay, exclusive of any bonuses and benefits. This 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 careers.ascensus.com/#Benefits.For 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 required. If 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 EmployerBe aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.comemail addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.Originally posted on Himalayas