Forward Deployed Engineer

HuntingCube; India; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

HuntingCube is seeking a Forward Deployed Engineer to bridge software engineering with AI agent orchestration. You will design, build, deploy and debug production AI agents end-to-end, embedding with client environments and owning agent performance in the wild.

This Delhi-based role requires 2–5 years in software development, backend skills in Python/Java, and hands-on AI/LLM experience. You will work with LangChain, OpenAI APIs, and cloud services while travelling for on-site client workshops.

Qualifications

• 2–5 years of software development experience with hands-on AI applications.
• Proficiency in Python or Java for backend work.
• Cloud platforms experience (preferably GCP) with APIs/WebSockets.
• Data fluency with SQL, Python, or Sheets.
• Strong client-facing communication and travel willingness.

Responsibilities

• End-to-End AI agent architecture design, prompt, build and deploy production voice agents.
• Build scalable backend integrations (REST APIs, WebSockets, webhooks) with enterprise systems.
• Implement AI/LLM workflows using LangChain, OpenAI APIs, or similar SDKs.
• Read system logs and traces for root-cause analysis of prompts, platform, or data pipelines.
• Monitor agent metrics and run funnel experiments on conversation cadence.
• Partner with client engineering teams and lead technical workshops.

Skills

AI agent architecture

REST APIs

WebSockets

webhooks

callbacks

CRM writes

LangChain

OpenAI APIs

Python

Java

GCP

OAuth2

JWT

SQL

Tools

LangChain

OpenAI APIs

GCP

OAuth2

JWT

SQL

Job description

Job Description

Role Overview Forward Deployed Engineer - Software Engineering 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. Location: Delhi Experience - 2 to 5 years

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 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: (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 & 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.

Required Skills

• AI agent architecture
• REST APIs
• WebSockets
• webhooks
• callbacks
• CRM writes
• LangChain
• OpenAI APIs
• Python
• Java
• GCP
• OAuth2
• JWT
• SQL

Additional Information

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