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Job Closed

Forward Deployed Engineer (AI Agents & Voice Systems)

  • Source: LinkedIn
  • Commotion
  • On-site
  • Mumbai
  • Full-Time
  • Mid level

Job Description

The Role

We’re 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, you’ll sit at the intersection of customers, product, and engineering

, deploying AI agents (voice + chat)

into mission-critical enterprise workflows. You’ll 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.

Your Impact

As a Forward Deployed Engineer, you’ll 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 won’t just ship features — it will define how the product works in the real world

.

What You’ll DoCustomer Problem Discovery

  • 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

Agent Design & Deployment

  • 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

Solution Architecture & Integrations

  • 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

Execution & Ownership

  • 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 what’s possible
  • Present results and recommendations to engineers, product teams, and senior stakeholders

Product Feedback Loop

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

Requirements

  • 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

Skills

  • guardrails
  • Python
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