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The role You build Tamil-language assistance that a farmer with limited literacy can actually use, with evaluations and guardrails from day one rather than added after the first embarrassment. You own the whole assist service, and you have the architecture’s backing to keep AI out of money and safety paths. Key responsibilities Own the assist service: Tamil chat help, a read-only operations copilot, document generation, and the evaluation and guardrail layer they run behind Build an evaluation set of at least a hundred Tamil questions with a published pass rate, run in the pipeline and not by hand Enforce guardrails, per-generation logging and hard per-user and per-day caps at the gateway rather than in application code Set a budget alarm at sixty per cent of the monthly allocation by day fifteen — the classic failure here is not a wrong answer, it is a bill Measure voice booking assist on real farmers in Erode before it enters the release, and never let it auto-submit anything Keep AI permanently out of every money, dispatch and safety path — generated text never contains a number the system did not compute Eligibility Three to five years in software, with at least one LLM feature shipped to real users rather than demonstrated Prompt and tool-use design, and agent loops Evaluations and guardrails you actually wrote and ran, with a story about a bad answer you caught before a user did Cost discipline against a real budget — you can explain model trade-offs, batching and caching without naming a favourite vendor by reflex An interest in Tamil; reading it is enough to start Willing to sit with farmers and listen to what they actually ask, which is never what was expected What you get A genuinely hard language problem with real users at the end of it Told plainly before you join where this work sits if the programme needs time — you will not discover that in November How the process runs Fill in the short form on this page. We read it ourselves. Every application is read. If we want to meet you, we call you.
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.