Forward Deployed Engineer – Voice AI, Telephony

Blue Machines AI

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

Posted 10/24/2026full-timeMumbai • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying production voice agents, integrating backend systems, and implementing AI frameworks. Proficient in managing client expectations and optimizing agent performance metrics.

Highest-signal resume keywords

Production Voice Agent DesignLLM/AI Application DevelopmentPython or Java ProficiencyCloud Platform Experience (GCP)API and WebSocket Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Voice AI SystemsConversational AI SystemsREST API DevelopmentSQL Data AnalysisRoot-Cause AnalysisData Pipeline ManagementOAuth2 and JWT AuthenticationWebhooks and CallbacksConversation DesignPerformance Optimization

Soft Skills

Client-Facing CommunicationTechnical Workshop LeadershipExpectation Management

Tools & Technologies

LangChainOpenAI APIsGCPTwilioWebRTCSIPAvayaUbona

Industry Keywords

Telephony StacksReal-Time ProtocolsAI FrameworksConversation CadenceAgent Metrics

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformJavaPythonSQL

About the role

Key responsibilities & impact

Design, prompt, build, and deploy production voice agents, including guardrails, conversation design, and tool-calling logic
Build scalable backend integrations using 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 originate from prompt design, the platform layer, or data pipelines
Monitor and optimize agent metrics including completion rate, hallucination rate, latency, and cost
Run funnel experiments on conversation cadence
Partner with client engineering teams and lead technical workshops
Manage client expectations and travel for live-call reviews
Take full technical ownership of production AI agent delivery, execution, performance, and debugging

Requirements

What you’ll need

4–6 years of software development experience
At least 2+ years of hands-on experience shipping live LLM/AI applications, such as 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 authentication protocols including OAuth2 and JWT
Comfortable pulling and analyzing data independently using SQL, Python, or Sheets
Strong client-facing communication skills and 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 such as SIP, WebRTC, Twilio, Avaya, or Ubona is a plus
Experience with Voice AI or Conversational AI systems is a plus

Benefits

Comp & perks

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