Forward Deployed Engineer (AI Integration + Design) - Gen AI & Voice AI
listed 46 days ago
Nirdisha removes a role 90 days after it was listed.
- Sector
- AI
- City
- Delhi NCR
- Area
- Cyber City Gurugram
- Experience
- 1 to 3 years
- Role family
- Design
- Salary
- Not disclosed
- Posted
- 23 Jul 2026 · 1 month ago
- Last checked
- 7 Sept 2026
About the role
Job Title: Forward Deployed Engineer
Location: Mumbai or Chennai or Bengaluru or Delhi or Ahmedabad
Experience: 2-5 Years
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.
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
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