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

Blue Machines AI; Bengaluru; On-site; INR 4,200,000 - 6,000,000; Full time

Job summary

Blue Machines AI in Bengaluru invites an experienced Forward Deployed Engineer to lead end‑to‑end delivery of production voice AI agents. You will embed with client environments, architect and implement integrations, and own agent performance across AI frameworks and enterprise systems.

You will collaborate with client engineering teams, design robust orchestration, and travel across multiple states in India to drive live deployments and workshops.

Qualifications

• 5-7 years of software development experience, with hands‑on shipping of live AI applications.
• Proficient in Python or Java for backend and integrations.
• Cloud platform experience (preferably GCP) with APIs, WebSockets, and auth protocols.
• Data fluency with SQL, Python or Sheets.

Responsibilities

• Design, build, and deploy production voice AI agents end‑to‑end.
• Develop scalable backend integrations (REST APIs, WebSockets, webhooks, CRM writes).
• Implement AI/LLM workflows using LangChain and OpenAI APIs.
• Perform root‑cause analysis from logs, traces and data pipelines.

Skills

Python

Java

SQL

WebSockets

REST APIs

OAuth2

JWT

LangChain

OpenAI APIs

Communication

Travel willingness

Tools

GCP

Webhooks

Twilio

Job description

Job Title: Forward Deployed Engineer

Experience: 5-7 Years

About the Company:

Blue Machines builds production Voice AI for India's largest enterprises—handling millions of live conversations in Hindi, Hinglish, and regional languages. As a Forward Deployed Engineer, you will design, build, integrate, support, and debug production‑grade AI agents end‑to‑end. You are directly responsible for the delivery and execution of your agent, not a partner handing off to it. You will bridge the gap between client systems and the Blue Machines platform across APIs, cloud services, and AI frameworks.

The Role

We are seeking a Forward Deployed Engineer (FDE) who bridges the gap between deep software engineering, cutting edge AI agent orchestration, and client delivery. In this role, you aren't just writing specifications or handing off prototypes you directly design, build, deploy, optimize, and debug production AI agents end‑to‑end. You will embed deeply with client environments to build seamless integrations while taking full technical ownership of agent performance in the wild.

What You'll Do

• End-to‑End AI Agent Architecture: Design, prompt, build, and deploy production voice agents, including guardrails, conversation design, and tool‑calling logic.
• Production Integration Engineering: Build scalable backend integrations (REST APIs, WebSockets, webhooks, callbacks, CRM writes) connecting the Blue Machines platform with enterprise systems.
• AI Orchestration & Ecosystems: Implement AI/LLM frameworks using LangChain, OpenAI APIs, or similar SDKs to deliver intelligent workflows.
• System Observability & Root‑Cause Analysis: Read system logs, traces, and call flows to run rigorous root‑cause analysis—proving whether an issue stems from prompt design, platform layer, or data pipelines.
• Agent Evaluation & Funnel Optimization: Continuously monitor and optimize agent metrics (completion rate, hallucination rate, latency, cost) and run funnel experiments on conversation cadence.
• Client Technical Leadership: Partner directly with client engineering teams, lead technical workshops, manage expectations with clarity, and travel for live‑call reviews.
• Extensive Travel:The role is based out of Bangalore and requires extensive travel across various states in India, depending on project and business requirements.

What We Look For

• Core Experience: (5-7) years of software development experience, with at least 2+ years of hands‑on experience shipping live LLM/AI applications (agents, RAG, or chatbots; voice experience is a plus).
• Core Backend Skills: Proficiency in Python or Java for backend architecture and integration work.
• Cloud & Web Architecture: Hands‑on experience with cloud platforms (preferably GCP) along with deep knowledge of APIs, WebSockets, and auth protocols (OAuth2, JWT).
• Data Fluency: Comfortable pulling and analyzing data independently using SQL, Python, or Sheets.
• Communication & Presence: Strong client‑facing communication skills with the ability to explain technical complexities in plain terms.
• Mobility: 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