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Location : Mumbai (1 position) , Chennai (2 positions) Experience : 5+ years Blue Machines builds production Voice AI for India's largest enterprises — millions of live conversations in Hindi, Hinglish, and regional languages. You design, build, integrate, and debug the AI agent end-to-end. You are delivery for your agent, not a partner handing off to it. You'll Own Conversation design, prompts, guardrails, and tool-calling logic Basic integrations (webhooks, CRM writes, callbacks) your agent depends on Debugging: given a bad call, prove whether it's prompt, platform, or data — not guess Evaluation and iteration: hallucination rate, completion rate, latency, cost Experiments on your own agent's funnel (opening line, retry cadence, sequencing) with a defined success metric Client-facing calls on your agent: explain what broke, what you're doing about it, and set realistic timelines Must Have 5+ years of experience, with hands-on work shipping an LLM/AI feature real users touched — chatbot, RAG, or agent (voice a plus, not required) Can read a log or trace and reason whether an issue is prompt, platform, or data Comfortable pulling your own data in SQL, Sheets, or Python Fluent English and Hindi Willing to travel for client workshops and live-call reviews Comfortable in front of clients — can explain a technical issue in plain terms and manage expectations without becoming defensive Good to Have Tamil, Telugu, Kannada, Malayalam, Marathi, or Gujarati BFSI/lending exposure Non-Ideal Fit Ship-and-forget builders uninterested in monitoring or RCA Spec-writers who don't build Process Screen → live take-home (build + deploy a working voice agent) → deep-dive on what you built → final conversation. The take-home is the real gate on voice-specific skill — not the resume.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.