GenAI LLM Engineer

We’re Hiring: GenAI / Applied LLM Engineer (6–12 Years Experience) Are you excited about building real-world applications powered by Generative AI and Large Language Models (LLMs) ? We’re looking for experienced engineers who can design scalable AI systems and are open to an international work journey. Role Overview As a GenAI / Applied LLM Engineer , you will work on cutting-edge AI solutions using LLMs, machine learning, and data engineering. This role offers an opportunity to contribute to projects that have the potential to revolutionize industries and improve people’s lives. Key Responsibilities: • Design and develop scalable AI systems using Large Language Models (LLMs) and Generative AI technologies. • Collaborate with cross-functional teams to integrate LLMs into real-world applications, such as chatbots, virtual assistants, and content generation tools. • Develop and maintain large-scale data pipelines for processing and analyzing vast amounts of text data. • Work closely with data scientists and engineers to design and implement machine learning models that leverage the capabilities of LLMs. • Stay up-to-date with the latest advancements in AI research and apply this knowledge to improve our products and services. What We Offer: • Competitive salary and benefits package. • Opportunity to work on cutting-edge AI projects that have the potential to revolutionize industries. • Collaborative and dynamic work environment. • Professional development opportunities, including training and mentorship programs. • Flexible working hours and remote work options. • Access to a wide range of tools and technologies, including LLMs, machine learning frameworks, and data engineering platforms. Requirements: • 6-12 years of experience in AI/ML engineering or a related field. • Strong understanding of Large Language Models (LLMs) and Generative AI technologies. • Experience with designing and developing scalable AI systems using LLMs and machine learning algorithms. • Proficiency in programming languages such as Python, Java, or C++. • Familiarity with data engineering platforms and tools, including Hadoop, Spark, and AWS Glue. • Strong analytical and problem-solving skills. • Excellent communication and collaboration skills. • Bachelor’s degree in Computer Science, AI/ML Engineering, or a related field. Certifications: • Certified Data Scientist (CDS) or Certified Machine Learning Engineer (CMLE) is a plus.