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Educational RequirementsBachelor of Engineering,BCA,BSc Service Line Topaz COE unit Responsibilities About the job: Join our energetic team as a Generative AI Engineer, where innovation meets creativity! We are seeking passionate individuals who thrive in a team-oriented environment and are eager to push the boundaries of technology. In this role, you will be at the forefront of developing cutting-edge AI solutions, harnessing the power of Generative AI and NLP to transform ideas into reality. If you are driven by curiosity and are excited about the potential of AI, this is the perfect chance for you to make a significant impact and grow your career in a supportive and forward-thinking company. Key Responsibilities: - Design and implement advanced Generative AI models to solve complex problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Conduct research and stay updated with the latest advancements in NLP and AI technologies. - Develop scalable and efficient AI algorithms to enhance product offerings. - Mentor junior team members and share knowledge to foster a culture of learning. Minimum Qualifications: - Bachelor's degree in Technology (B.Tech) or related field. - 5+ years of experience in Generative AI, NLP, and Artificial Intelligence. - Proven track record of successfully deploying AI models in production environments. Preferred Qualifications: - Strong communication skills to effectively collaborate with stakeholders. - Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. - Ability to work independently and manage multiple projects simultaneously. - Demonstrated problem-solving skills and a proactive approach to challenges. Good to have skills: Machine Learning, Data Analysis, Deep Learning, Python Programming, Cloud Computing Preferred Skills: Technology->Machine Learning->Generative AI -> Computer Vision .
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.