Forward Deployment Engineer

Blue Machines AI; Ahmedabad District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Blue Machines AI is seeking a Forward Deployed Engineer to bridge software engineering, AI agent orchestration, and client delivery. You will design, build, deploy, and debug production AI agents end-to-end, embedding with client environments for seamless integrations.

You will own agent performance, collaborate with client teams, run workshops, and travel for live-call reviews while shipping robust backend and integration work using Python/Java, GCP, and modern AI tooling.

Qualifications

• 2-5 years of software development experience with at least 2+ years shipping live 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) and APIs, WebSockets, and auth protocols (OAuth2 JWT).
• Data fluency with SQL, Python, or Sheets.
• Strong client-facing communication and ability to explain technical concepts clearly.
• Willingness to travel for live-call reviews.

Responsibilities

• End-to-End AI Agent Architecture: design, prompt, build, and deploy production voice agents with guardrails and tool-calling logic.
• Production integration engineering: build scalable backend integrations (REST APIs, WebSockets, webhooks, callbacks, CRM writes).
• AI orchestration and ecosystems: implement AI/LLM frameworks using LangChain and OpenAI APIs.
• System observability and root-cause analysis: read logs and traces to diagnose issues.
• Agent evaluation and funnel optimisation: monitor metrics and run experiments on conversation cadence.
• Client technical leadership: lead workshops and travel for live-call reviews.

Skills

Communication

Client-facing

Problem Solving

Tools

Python

Java

GCP

REST APIs

WebSockets

OAuth2

JWT

LangChain

OpenAI API

Job description

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, optimise, 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.

Responsibilities:

• 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 and Ecosystems: Implement AI/LLM frameworks using LangChain, OpenAI APIs, or similar SDKs to deliver intelligent workflows.
• System Observability and 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 and Funnel Optimisation: Continuously monitor and optimise 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.

Requirements:

• Core Experience: (2-5) 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 and 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 analysing data independently using SQL, Python, or Sheets.
• Communication and Presence: Strong client-facing communication skills with the ability to explain technical complexities in plain terms.
• Mobility : Willing t,
• Knowledge of telephony stacks and real-time protocols (SIP, WebRTC, Twilio, Avaya, Ubona).
• Experience with Voice AI or Conversational AI Systems.