Forward Deployed Engineer (Voice AI / Telephony)
Builds and deploys LLM-powered voice agents using LangChain and OpenAI APIs—directly tied to AI agent orchestration and voice-focused 'vibe' coding.
About the Role
Design, build, deploy, and operate production voice AI agents end-to-end, integrating them with enterprise systems and taking full technical ownership of agent performance. The role combines backend integration, AI/LLM orchestration, observability, and client-facing delivery for large Indian enterprise voice deployments.
Job Description
Role
As a Forward Deployed Engineer (Voice AI / Telephony) at Blue Machines Ai you will design, build, integrate, deploy, and support production voice AI agents end-to-end. You will take technical ownership of agent performance, embed with client environments, and bridge client systems with the Blue Machines platform across APIs, cloud services, and AI frameworks.
Key Responsibilities
- Design and deploy production voice agents including prompt design, guardrails, conversation design, and tool-calling logic.
- Build scalable backend integrations: REST APIs, WebSockets, webhooks, callbacks, and CRM writes.
- Implement AI/LLM orchestration using frameworks and APIs (e.g., LangChain, OpenAI APIs).
- Monitor system observability, read logs/traces/call flows, and perform root-cause analysis.
- Continuously evaluate and optimize agent metrics (completion rate, hallucination rate, latency, cost) and run funnel/experimentation on conversation cadence.
- Lead client technical engagements: workshops, expectation management, and travel for live-call reviews.
Requirements
- 3–5 years software development experience, with at least 2 years shipping live LLM/AI applications (agents, RAG, or chatbots); voice experience is a plus.
- Proficiency in Python or Java for backend architecture and integrations.
- Hands-on cloud experience (preferably GCP) and strong knowledge of APIs, WebSockets, and auth protocols (OAuth2, JWT).
- Data fluency: SQL and/or Python or Sheets for pulling and analyzing data.
- Strong client-facing communication skills and willingness to travel for on-site workshops and deployments.
Nice to Have
- Knowledge of telephony stacks and real-time protocols (SIP, WebRTC) and platforms such as Twilio, Avaya, Ubona.
- Experience specifically with Voice AI or Conversational AI systems.