Forward Deployed Engineer (AI Agents & Voice Systems)

Were hiring Forward Deployed Engineers (FDEs) who are obsessed with GenAI, prompts, and problem-solving and who want to see their work deployed in production , not stuck in demos.

As an FDE, youll sit at the intersection of customers, product, and engineering , deploying AI agents (voice + chat) into mission-critical enterprise workflows. Youll work hands-on with customers to design, integrate, and scale AI agents that deliver measurable business outcomes and then feed those real-world learnings straight back into the product roadmap.

No two deployments are the same.

This role is high ownership, high ambiguity, and very high impact .

If you love writing prompts, debugging AI behavior, thinking deeply about system design, and watching AI agents succeed (or fail) in the wild this role is for you.

As a Forward Deployed Engineer, youll directly shape:

• How enterprises adopt and trust AI agents in production
• How voice and chat agents perform in real, mission-critical workflows
• How quickly customers move from PoC scaled rollout
• How the platform evolves based on real usage, edge cases, and failure modes
• How AI agents deliver tangible business value , not hype

Your work wont just ship features it will define how the product works in the real world .

• Partner closely with strategic customers to deeply understand workflows, constraints, and pain points
• Identify high-leverage AI agent use cases across support, sales, operations, and automation
• Turn vague business problems into clear, solvable technical and AI system designs

• Design and deploy end-to-end AI agent systems across voice and chat
• Craft and iterate on prompts, tools, memory, state, routing, guardrails, and fallbacks
• Debug AI behavior in production from hallucinations to latency to edge cases
• Ensure agents are reliable, safe, observable, and scalable

• Build custom integrations with CRMs, ticketing tools, telephony systems, internal APIs, and data sources
• Design solutions that fit seamlessly into existing enterprise stacks
• Support requirements around security, compliance, VPCs, and data isolation
• Guide customers on best practices for deploying and scaling AI agents

• Own deployments end-to-end for strategic customers
• Prototype quickly, test aggressively, iterate fast, and ship confidently
• Build compelling demos and live examples that showcase whats possible
• Present results and recommendations to engineers, product teams, and senior stakeholders

• Act as the voice of the field for core product teams
• Surface patterns, gaps, and opportunities from real deployments

• Experience working with customers in a technical, solutions-oriented role
• (Solutions Engineering, FDE, Product Engineering, Consulting, etc.)
• Comfort collaborating with both engineers and non-technical stakeholders
• Working knowledge of Python and APIs for prototyping and integrations
• Familiarity with LLMs, AI agents, conversational systems, or workflow automation
• Strong problem-solving skills and the ability to structure ambiguous problems
• A strong ownership mindset you take things from idea to production
• Excellent communication skills, especially explaining complex systems simply