Forward Deployed Engineer (voice Ai / Telephony)

About the Role

Design, build, deploy, and operate production voice AI agents end-to-end, integrating them with enterprise systems and taking full technical ownership of agent performance. The role combines backend integration, AI/LLM orchestration, observability, and client-facing delivery for large Indian enterprise voice deployments.

Builds and deploys LLM-powered voice agents using LangChain and OpenAI APIs—directly tied to AI agent orchestration and voice-focused 'vibe' coding.

Location: Bengaluru

Type: Full Time, Permanent

Posted: 1 week ago

Category: Software Engineering

Vibe Markers: 💻 Open Source, ✨ New

Experience Level: Mid

Job Description

Role

As a Forward Deployed Engineer (Voice AI / Telephony) at Blue Machines Ai you will design, build, integrate, deploy, and support production voice AI agents end-to-end. You will take technical ownership of agent performance, embed with client environments, and bridge client systems with the Blue Machines platform across APIs, cloud services, and AI frameworks.

Key Responsibilities

• Design and deploy production voice agents including prompt design, guardrails, conversation design, and tool-calling logic.
• Build scalable backend integrations: REST APIs, WebSockets, webhooks, callbacks, and CRM writes.
• Implement AI/LLM orchestration using frameworks and APIs (e.g., LangChain, OpenAI APIs).
• Monitor system observability, read logs/traces/call flows, and perform root-cause analysis.
• Continuously evaluate and optimize agent metrics (completion rate, hallucination rate, latency, cost) and run funnel/experimentation on conversation cadence.
• Lead client technical engagements: workshops, expectation management, and travel for live-call reviews.

Requirements

• 3–5 years software development experience, with at least 2 years shipping live LLM/AI applications (agents, RAG, or chatbots); voice experience is a plus.
• Proficiency in Python or Java for backend architecture and integrations.
• Hands-on cloud experience (preferably GCP) and strong knowledge of APIs, WebSockets, and auth protocols (OAuth2, JWT).
• Data fluency: SQL and/or Python or Sheets for pulling and analyzing data.
• Strong client-facing communication skills and willingness to travel for on-site workshops and deployments.

Nice to Have

• Knowledge of telephony stacks and real-time protocols (SIP, WebRTC) and platforms such as Twilio, Avaya, Ubona.
• Experience specifically with Voice AI or Conversational AI systems.

Tech Stack

Python, Java, LangChain, OpenAI APIs, GCP, REST APIs, WebSockets, webhooks, OAuth2, JWT, SQL, Sheets, SIP, WebRTC, Twilio, Avaya, Ubona, RAG

Skills

Prompt Engineering, AI Agent Orchestration, System Design, Backend Integration, Observability, Root-Cause Analysis, Data Analysis, Client Communication, Deployment & Operations, Performance Optimization, Conversation Design, Experimentation