Forward Deployed Engineer Voice AI Telephony - Ahmedabad

Blue Machines AI; Ahmedabad District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Blue Machines AI in India is seeking a Forward Deployed Engineer to bridge deep software engineering and client delivery. You will design, build, deploy, and optimize production voice AI agents end-to-end while owning performance in real environments.

The role embeds with client environments, leading integrations and technical workshops. 3–5 years of software development with hands-on experience shipping live AI applications are expected, with travel for on-site reviews.

Qualifications

• 3–5 years of software development experience with at least 2 years shipping live AI applications.
• Backend focus with Python or Java for integration work.
• Cloud experience (preferably GCP) with APIs, WebSockets and auth protocols.
• Data fluency with SQL, Python, or Sheets.
• Strong client-facing communication and willingness to travel for on-site reviews.

Responsibilities

• Design, prompt, build and deploy production voice agents with guardrails and tool-calling logic.
• Build scalable backend integrations (REST, WebSockets, webhooks, CRM writes) with enterprise systems.
• Implement AI/LLM workflows using LangChain and OpenAI APIs.
• Read logs and traces to perform root-cause analysis across prompt, platform, and data pipelines.
• Monitor metrics and run funnel experiments to optimize agent performance.
• Lead client technical workshops and travel for live-call reviews.

Skills

Python

Java

SQL

REST APIs

WebSockets

Communication skills

Travel willingness

Tools

LangChain

OpenAI APIs

OAuth2

JWT

Webhooks

Job description

Job Description:

Job Title: Forward Deployed Engineer

Experience: 3-5 Years

About the Company:

Blue Machines builds production Voice AI for Indias largest enterprises-handling millions of live conversations in Hindi, Hinglish, and regional languages.

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 arent 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 Youll 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.

What We Look For

• Core Experience: (3-5) 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

Requirements