Forward Deployment Engineer

Blue Machines AI; Delhi; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Blue Machines AI seeks an experienced Forward Deployed Engineer to bridge software engineering with AI agent orchestration. You will design, build, deploy, optimise, and debug production AI agents end-to-end, embedding with client environments and taking technical ownership of agent performance.

You will lead end-to-end AI agent architecture, production integrations, and orchestration using LangChain/OpenAI APIs, with a focus on observability and ROI.

Qualifications

• 2–5 years of software development experience.
• 2+ years shipping live LLM/AI applications (agents, RAG, or chatbots).
• Proficiency in Python or Java for backend development.
• Cloud experience with GCP and API/websocket knowledge.
• Data analysis using SQL or Python.
• Strong client-facing communication skills.
• Willingness to travel for on-site client workshops and deployment reviews.
• Knowledge of telephony stacks and real-time protocols (SIP, WebRTC).
• Experience with Voice AI or Conversational AI systems.

Responsibilities

• Design, build, deploy production AI agents end-to-end.
• Develop scalable backend integrations (REST APIs, WebSockets, webhooks).
• Implement AI orchestration frameworks using LangChain and OpenAI APIs.
• Read logs and traces to perform root-cause analysis across prompts, platform, and data pipelines.
• Monitor agent metrics and run funnel experiments to optimise performance.
• Lead client workshops and collaborate with client engineering teams on-site.

Skills

LLM/AI apps

Python/Java

Cloud platforms (GCP)

SQL/Python data analysis

Client communication

Travel readiness

Voice/Convo AI

Tools

LangChain

OpenAI APIs

SDK integrations

REST/WebSocket APIs

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: Willingness to travel for on-site client workshops and deployment reviews.
• Knowledge of telephony stacks and real-time protocols (SIP, WebRTC, Twilio, Avaya, Ubona).
• Experience with Voice AI or Conversational AI Systems.