AI Support Engineer

Valsoft Corporation•White Plains, NY

40d•$70,000 - $80,000

About The Position

WeSuite builds specialized software for the security systems industry — helping integrators and dealers manage quoting, sales workflows, and client relationships more effectively. We're on a mission to build a support organization where AI agents handle the majority of resolution work, freeing our team to focus on what requires genuine judgment, product expertise, and client relationships. We take AI seriously as infrastructure, not just tooling — and we're looking for people who do too. The Opportunity: AI Support Engineer This is not a traditional support role with AI tools added on. It's an agent-building and agent-ownership role that requires genuine support instincts, strong technical curiosity, and a systems mindset. You'll resolve real tickets, develop deep product knowledge, and constantly think about how to turn what you just learned into something an agent can handle next time — without human intervention.

Requirements

3–5 years of SaaS customer support experience, preferably in an enterprise environment
Demonstrated experience building or improving AI agents, chatbots, or automated support workflows — not just using AI tools passively
Strong prompt engineering instincts and comfort working iteratively with LLM-based tools
Hands-on Zendesk experience including workflow configuration and reporting
Ability to develop deep product knowledge quickly and translate it into structured, agent-usable content
Strong written communication skills — clarity of thought directly impacts agent quality
Comfort operating in a metrics-driven environment with ownership over outcomes, not just activities

Nice To Haves

Experience owning a support bot or virtual agent end-to-end
Familiarity with knowledge base architecture and content strategy for agent retrieval
Exposure to structured defect reporting or basic QA processes
Background in sales, quoting, or CRM-adjacent SaaS platforms
Experience with agentic AI frameworks or workflow automation tools

Responsibilities

Own the performance of WeSuite Walt, our support bot, as a product responsibility — not a side task
Design, build, and iterate on agent resolution flows for defined ticket categories
Identify ticket classes suitable for full or partial autonomous resolution and drive them to automation
Prompt engineer and tune agent responses against real ticket data, measuring accuracy and resolution rate
Establish and close feedback loops: when an agent fails, diagnose why, fix the underlying gap, and retest
Continuously expand the scope of what agents can resolve without human intervention
Work a meaningful volume of real tickets as a core part of the role — this is how client understanding and product knowledge are built and kept current
Treat every ticket as a data point: does the agent know how to handle this? If not, why not, and what needs to change?
Develop expert-level fluency in WeSuite's platform, common failure modes, and client use patterns to translate that knowledge into agent-ready content and logic
Collaborate with QA and Product Management to stay ahead of platform changes that affect agent accuracy
Own and manage the Knowledge Base as a living system agents draw from — not a static document library
Use AI tools (Gemini, Scribe, etc.) to accelerate article creation while owning the quality and structure of what gets published
Ensure Knowledge Base architecture supports agent retrieval — structure, tagging, and coverage matter as much as content quality
Handle escalations that agents cannot resolve, using Devin AI to structure and analyze code defects before Development handoff
Collaborate with QA to validate resolution before new releases
Actively work to reduce the escalation rate over time by feeding learnings back into agent workflows
Track and own agent performance metrics as the primary measure of role success
Report on automation coverage, deflection rate trends, and resolution quality alongside traditional support KPIs
Bring a continuous improvement mindset to both the agent layer and your own direct support work

Benefits

$70,000 – $80,000 compensation, health, dental, vision, PTO, and more
High Autonomy, High Impact: You're not inheriting a finished system — you're building one, with real ownership over its direction and performance
Serious Career Growth: Clear growth path as agent capabilities, platform complexity, and team scope expand
Learning-Driven Culture: Deep product knowledge is valued and developed here, not assumed or outsourced
Entrepreneurial Energy: Direct, visible impact on how the company scales support without scaling headcount linearly
Team-First Mindset: A team that takes AI seriously as infrastructure — and that means you'll always have room to grow

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