Forward Deployed Engineer (FDE)

Location: Bengaluru, India

Department: Tech Department

Experience: 0-2 years

Skills: Testing, API Troubleshooting & Integration Analysis, configure, Chatbot, LLM, API

About Kapture CX

About the Team

Role Overview

Key Responsibilities

Voice Bot Development

• Design and configure voice call flows including intents, prompts, escalation logic, fallback handling and conversation journeys.
• Configure and optimize STT, LLM and TTS pipelines based on client requirements.
• Write and continuously tune LLM prompts for bot persona, conversation rules and edge cases.
• Handle scenarios such as interruptions, repetitions, cancellations, fallbacks and escalation to human agents.
• Analyze call recordings and transcripts to identify issues and improve bot performance.

Chatbot Development

• Design and configure chatbot conversation flows, intents, business logic and fallback paths.
• Configure and deploy embeddable chat widgets on client websites.
• Work with iframe embedding, styling and basic security configurations such as CSP.
• Analyze conversation logs to improve flow accuracy, user experience and reduce drop-offs.

Client & Solution Ownership

• Translate client requirements into functional chatbot and voice bot solutions on the Kapture platform.
• Work directly with clients or client-facing teams to understand business requirements and technical needs.
• Debug and resolve issues across bot flows, prompts, configurations and integrations.
• Collaborate with platform and engineering teams when issues require product or platform-level changes.
• Own assigned bot deployments from requirement gathering through go-live and post-production optimization.
• Maintain clear documentation covering solution design, configurations, integrations and deployment details.

What We're Looking For

• 0–2 years of experience in software engineering, technology, automation or a related technical/builder role.
• Strong fundamentals in at least one programming language.
• Comfortable working with JSON and configuration-driven systems.
• Basic understanding of REST APIs and API integrations.
• Genuine interest in Conversational AI, LLMs, chatbots or voice bots.
• Understanding or hands-on exposure to prompt engineering, conversation design or LLM-based applications is a plus.
• Strong problem-solving and debugging skills.
• Excellent written and verbal communication skills.
• Comfortable interacting with clients and translating business requirements into technical solutions.
• Ability to independently own a deliverable from requirement → build → deployment → iteration.

Good to Have

• Experience with no-code/low-code platforms, chatbot builders, IVR or voice platforms.
• Exposure to LLM APIs or prompt engineering.
• Familiarity with WebSockets, telephony systems, real-time audio or STT/TTS technologies.
• Experience with client-facing projects or requirement gathering.
• Personal, academic or internship projects involving AI/ML, chatbots, voicebots or automation.

What Success Looks Like

• Independently take a client's requirements and build a functional chatbot or voice bot end-to-end.
• Configure conversation flows, prompts, integrations and relevant AI pipeline components with minimal supervision.
• Diagnose and resolve live bot issues across flows, prompts and configurations.
• Use conversation logs, transcripts and call data to continuously improve bot performance.
• Effectively collaborate with clients, account teams and engineering teams.
• Become a trusted owner for assigned bot deployments from kickoff to go-live and beyond.

Why This Role?