Front Deployed Engineer

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
  

• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
  

• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
  

• Act as the AI subject-matter expert during client discussions.
  

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
  

• Problem statement & goals.
  

• Current vs. proposed conversational flows.
  

• Chatbot conversation logic, integrations, and dependencies.
  

• Assumptions, limitations, and success criteria.
  

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
  

• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
  

• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
  

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
  

• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
  

• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
  

• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
  

• Willingness to be front deployed (customer calls/visits as needed).
  

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
  

• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
  

• Prior SaaS onboarding/delivery experience in mid-market or enterprises.
  

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
  

• Customer empathy + engineering discipline.
  

• Strong bias for iteration: deploy → learn → improve.
  

• Calm under ambiguity (real customer environments are chaotic by default).