AI Platform Software Engineer

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 involves technical support, product enablement, and AI system operations, working closely with engineering teams and internal users.

Location: United States

Salary: $65-85k

Responsibilities

• Investigate and resolve issues reported by users of Agent Assist
• Reproduce issues and trace failures across LLM responses, agent workflows, tools (MCP), and backend systems
• Analyze logs, traces, and telemetry (e.g., Langfuse, NewRelic logs)
• Document findings and partner with engineering on resolution leveraging Azure DevOps
• 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
• 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 capabilities and limitations
• Partner closely with engineering, product, and AI teams
• Translate user issues into clear, actionable tickets and improvements
• Identify recurring patterns and escalate systemic issues

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 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
• Experience supporting or building AI/agent-based applications is preferred
• Familiarity with Retrieval-Augmented Generation (RAG), tool/agent orchestration, prompt engineering is preferred

Benefits

• 401(k) match
• Medical, Dental, Vision
• Paid-Time-Off
• More benefits available at careers.ascensus.com/#Benefits

Additional Information

• The role does not provide visa sponsorship now or in the future and does not hire candidates working under OPT.
• Candidates must complete a video interview assessment within 7 days of applying, which includes games and questions, and requires a quiet environment and camera-enabled device.
• Remote work requires an uninterrupted workspace, family care during business hours, and internet speed of 25 Mbps or better. For call center roles, equipment must be hardwired or close to the router.