Forward Deployed Engineer – Voice AI, Telephony

Jobtailor; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Jobtailor in Chennai, India, is seeking an experienced software engineer to design, build, and deploy production voice agents with guardrails and tool-calling logic. You will integrate backend systems, implement AI frameworks, and analyze performance metrics in production.

You will collaborate with client engineering teams, travel for on-site workshops, and take full ownership of agent performance across the stack. A 3-6 year track record with Python/Java and cloud experience is required.

Qualifications

• 3-6 years of software development experience.
• At least 2+ years of hands-on experience shipping live LLM/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.
• Deep knowledge of APIs, WebSockets, and auth protocols (OAuth2, JWT).
• Comfortable pulling and analyzing data independently using SQL, Python, or Sheets.
• Strong client-facing communication skills with the ability to explain technical complexities in plain terms.
• Willingness to travel for on-site client workshops and deployment reviews.
• Knowledge of telephony stacks and real-time protocols (SIP, WebRTC, Twilio, Avaya, Ubona) is nice to have.
• Experience with Voice AI or Conversational AI Systems is nice to have.

Responsibilities

• Design, prompt, build, and deploy production voice agents, including guardrails, conversation design, and tool-calling logic
• Build scalable backend integrations including REST APIs, WebSockets, webhooks, callbacks, and CRM writes
• Connect the Blue Machines platform with enterprise systems
• Implement AI/LLM frameworks using LangChain, OpenAI APIs, or similar SDKs
• Read system logs, traces, and call flows to perform root-cause analysis
• Determine whether issues stem from prompt design, platform layers, or data pipelines
• Monitor and optimize agent metrics including completion rate, hallucination rate, latency, and cost
• Run funnel experiments on conversation cadence
• Partner directly with client engineering teams
• Lead technical workshops and manage client expectations
• Travel for live-call reviews, on-site client workshops, and deployment reviews
• Take full technical ownership of agent performance in production

Skills

Voice Agent Design

LLM/AI Application Development

Python or Java Proficiency

Cloud Platform Experience (GCP)

API and WebSocket Integration

SQL Data Analysis

Technical Ownership

Client-Facing Communication

Technical Workshop Leadership

Tools

LangChain

OpenAI APIs

GCP

OAuth2

JWT

SIP

WebRTC

Twilio

Avaya

Ubona

Job description

• Design, prompt, build, and deploy production voice agents, including guardrails, conversation design, and tool-calling logic


• Build scalable backend integrations including REST APIs, WebSockets, webhooks, callbacks, and CRM writes


• Connect the Blue Machines platform with enterprise systems


• Implement AI/LLM frameworks using LangChain, OpenAI APIs, or similar SDKs


• Read system logs, traces, and call flows to perform root-cause analysis


• Determine whether issues stem from prompt design, platform layers, or data pipelines


• Monitor and optimize agent metrics including completion rate, hallucination rate, latency, and cost


• Run funnel experiments on conversation cadence


• Partner directly with client engineering teams


• Lead technical workshops and manage client expectations


• Travel for live-call reviews, on-site client workshops, and deployment reviews


• Take full technical ownership of agent performance in production

Requirements

• 3-6 years of software development experience


• At least 2+ years of hands-on experience shipping live LLM/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


• Deep knowledge of APIs, WebSockets, and auth protocols (OAuth2, JWT)


• Comfortable pulling and analyzing data independently using SQL, Python, or Sheets


• Strong client-facing communication skills with the ability to explain technical complexities in plain terms


• Willingness to travel for on-site client workshops and deployment reviews


• Knowledge of telephony stacks and real-time protocols (SIP, WebRTC, Twilio, Avaya, Ubona) is nice to have


• Experience with Voice AI or Conversational AI Systems is nice to have

Core Competencies

Demonstrates expertise in designing and deploying production voice agents, integrating backend systems, and implementing AI frameworks. Proficient in analyzing performance metrics and leading client engagements to ensure optimal agent functionality.

Highest-signal resume keywords

• Voice Agent Design


• LLM/AI Application Development


• Python or Java Proficiency


• Cloud Platform Experience (GCP)


• API and WebSocket Integration

ATS Optimization Keywords

Hard Skills

• Voice Agent Development


• Backend Integration


• REST API Development


• SQL Data Analysis


• AI/LLM Framework Implementation


• Root-Cause Analysis


• Performance Monitoring


• Conversation Design


• Data Pipeline Management


• Technical Ownership

Soft Skills

• Client-Facing Communication


• Technical Workshop Leadership

Industry Keywords

• Conversational AI


• Voice AI


• Telephony Stacks


• Real-Time Protocols

Tools & Technologies

• LangChain


• OpenAI APIs


• GCP


• OAuth2


• JWT


• SIP


• WebRTC


• Twilio


• Avaya


• Ubona