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Job Title: Python & AI Backend Engineer Company: DTP Labs Product: https://lingvert.com Location: On Site (Monday to Friday 09:00 am to 6:30 pm) Address: 43, Basant Lok Market, Vasant Vihar, New Delhi, Delhi 110057, India Email: info@dtplabs.com About DTP Labs DTP Labs is a multilingual desktop publishing (DTP), localization, translation, and data annotation company founded in 2004. Headquartered in New Delhi, India, it employs over 70 in-house specialists and serves global translation agencies and Fortune 500 enterprises across 100+ languages. We're looking for a motivated Python developer who enjoys building products, learning quickly, and taking ownership of real-world projects. About LingVert lingvert.com is an AI-powered document digitization platform that transforms scanned and native documents into structured, editable, and multilingual digital formats while preserving the original layout. The platform combines document intelligence, OCR, translation, and Large Language Models (LLMs) to automate complex document workflows for businesses worldwide. Engineers at DTP Labs build and maintain the core technologies powering LingVert's production systems. Role Overview You will be responsible for developing, maintaining, and enhancing the technology behind DTP Labs' internal platforms and customer-facing products, including LingVert.com. The role involves building backend services, integrating Large Language Models (LLMs), developing AI-powered workflows, and maintaining production applications using Python and Django. Responsibilities Develop and maintain backend applications using Python and Django. Build and consume REST APIs. Integrate Large Language Models (OpenAI, Gemini, Claude, Azure OpenAI, etc.) through LangChain or similar frameworks. Design AI workflows involving prompt engineering, document processing, and retrieval pipelines. Work with PostgreSQL, Redis, Celery, and background task processing. Deploy and maintain applications on Linux servers. Required Skills Strong Knowledge Python 3.14+ Django 6.0+ SQL and Postgre SQL Git and GitHub REST APIs HTML, CSS, and JS fundamentals AI / LLM Skills Experience working with LLM APIs LangChain or similar orchestration frameworks Prompt engineering fundamentals. Machine Learning Fundamentals Additional Technical Skills Redis Celery Linux command line Virtual environments Docker AWS cloud platform Experience: 23 years of experience Compensation: 4.8 6.0 LPA (Based on skills, experience, and interview performance) The ideal candidate is someone who can understand an existing project, confidently make enhancements, integrate AI capabilities using LangChain and LLM APIs, debug issues independently, and gradually become the primary owner of a production application. We value curiosity, initiative, and the ability to deliver reliable software over years of experience. Compensation: 480,000.00 - 600,000.00 per year Work Location: In person .
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.