Software Engineer

Role Overview

Ascensus is hiring Software Engineers for its AI Technology team across multiple levels (Associate, Mid, Senior) and also SDET roles. The work focuses on enterprise AI—troubleshooting AI behavior, improving platform performance, and helping build reliable LLM and agent workflows at scale.

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 apps)
• Analyze logs, traces, and telemetry (e.g., Langfuse, New Relic) and document findings
• Partner with engineering to resolve root causes using Azure DevOps

System Debugging & Improvement

• Determine whether issues come from prompting, retrieval (RAG), tool selection, or backend systems
• Propose improvements to agents, skills, prompts, and workflows
• Use AI-powered development tools (e.g., Cursor) to speed debugging and analysis
• Improve reliability and response quality

User Enablement & Evangelism

• Train internal users on how to use Agent Assist effectively
• Run demos, onboarding sessions, and office hours
• Act as a trusted advisor to client-facing associates and help drive adoption by clarifying capabilities and limitations

Cross-Functional Collaboration

• Translate user issues into clear, actionable tickets and improvements
• Identify recurring patterns and escalate systemic issues

Confidentiality & Security

• Protect, secure, and properly handle Ascensus confidential data to prevent unauthorized access or disclosure

Interview Process

• Video screening and coding assessment

Requirements

• Up to 3 years experience in software engineering, software support, QA, SDET, or an engineering-adjacent role (includes internships/co-ops/academic projects)
• Bachelor’s degree in a related technical field (e.g., Computer Science)
• Ability to troubleshoot and perform root cause analysis
• Foundational exposure to:
  • API testing (e.g., Postman)
  • Reading logs and debugging application behavior
  • Basic SQL / data inspection
• Interest in or exposure to AI/LLM systems (prompting, chatbots, RAG, agents)
• Experience or willingness to learn AI-powered dev tools (e.g., Cursor, Claude Code)
• Strong communication skills to translate technical issues clearly

Nice-to-Haves / Level Signals (from posting)

• Hiring spans Associate (0–2), Mid (3–5), Senior (5–15), plus SDET (3+ years)