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Forward Deployed Engineer (Voice AI / Telephony) - Gov.

Blue Machines AI
NewPosted today

LOCATION

Bengaluru · Onsite

EXPERIENCE

5 - 7 Years

SKILLS REQUIRED

PythonPrompt EngineeringAPI IntegrationCloud InfrastructureLLM EvaluationRoot Cause Analysis

Job description

Overview

Design, build, deploy, optimize and debug production Voice AI agents end-to-end, embedded in client environments and owning agent performance in production.

What you'll do

  • Design, prompt, build and deploy production voice agents, including guardrails, conversation design and tool-calling logic.
  • Build scalable backend integrations (REST APIs, WebSockets, webhooks, callbacks, CRM writes) connecting the Blue Machines platform with enterprise systems.
  • Implement AI/LLM frameworks using LangChain, OpenAI APIs or similar SDKs to deliver intelligent workflows.
  • Read system logs, traces and call flows to run root-cause analysis, proving whether an issue stems from prompt design, platform layer or data pipelines.
  • Continuously monitor and optimize agent metrics (completion rate, hallucination rate, latency, cost) and run funnel experiments on conversation cadence.
  • Partner directly with client engineering teams, lead technical workshops, manage expectations with clarity, and travel for live-call reviews.

What you'll need

  • 5-7 years of software development experience.
  • At least 2+ years of hands-on experience shipping live LLM/AI applications (agents, RAG or chatbots).
  • Proficiency in Python or Java for backend architecture and integration work.
  • Hands-on experience with cloud platforms (preferably GCP).
  • Deep knowledge of APIs, WebSockets and auth protocols (OAuth2, JWT).
  • Comfortable pulling and analyzing data independently using SQL, Python or Sheets.
  • Strong client-facing communication skills, with the ability to explain technical complexities in plain terms.
  • Willingness to travel for on-site client workshops and deployment reviews.

Nice to have

  • Knowledge of telephony stacks and real-time protocols (SIP, WebRTC, Twilio, Avaya, Ubona).
  • Experience with Voice AI or Conversational AI systems.
  • Voice experience (listed as a plus alongside LLM/AI application experience).

Details

  • Based out of Bangalore.
  • Extensive travel across various states in India, depending on project and business requirements.

Read the full description and apply on the company’s own careers page.

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Forward Deployed Engineer (Voice AI / Telephony) - Gov.