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Applied AI Engineer with 3+ years of experience in core machine learning, model training, fine-tuning, and production deployment, building scalable AI systems and LLM-powered applications. Company Details Conqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows. The company focuses on privacy, security, reliability, and delivering high-impact AI products for enterprise users. Website: https://www.conqr.ai/ Requirements - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 3+ years of experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, or similar role. - Robust experience training, fine-tuning, and deploying machine learning models to production. - Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn. - Experience operating and maintaining production ML systems. - Hands-on experience with AWS, GCP, or Azure cloud platforms. - Familiarity with cloud ML services such as SageMaker, Vertex AI, or similar platforms. - Strong understanding of API design and distributed system architecture. - Experience implementing MLOps practices, CI/CD pipelines, and model monitoring. - Experience with Docker and Kubernetes. - Knowledge of PostgreSQL and modern data infrastructure. - Experience with LLMs, RAG systems, and vector databases is a strong plus. - Excellent written and verbal communication skills in English. Responsibilities - Own end-to-end delivery of production AI and ML systems from experimentation to deployment. - Train, fine-tune, and optimize machine learning models, including LLMs and open-weight models. - Build and maintain training, data processing, and inference pipelines. - Improve model performance across accuracy, latency, reliability, and cost. - Implement MLOps best practices for deployment, monitoring, CI/CD, and automated retraining. - Develop evaluation frameworks, benchmark datasets, and quality checks for production models. - Design and maintain scalable APIs and services that expose AI capabilities. - Collaborate with Product, Backend, and Frontend teams to integrate AI into customer-facing workflows. - Monitor production systems and continuously improve model and infrastructure performance. - Research and evaluate emerging AI techniques, tools, and frameworks. Job Details Location: Remote Interview Process - Recruiter Screening - Hiring Manager Discussion - Applied AI Technical Assessment - Founder Round - Final HR Discussion Important Note ClanX is a recruitment partner, helping Conqr AI hire an Applied AI Engineer. .
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.