Tech in Asia has been making significant strides in applying generative AI in various functions such as editorial, sales and HR through its dedicated Applied AI Labs.
At the core of Applied AI Labs' initiatives is a multidisciplinary approach that brings together experts in artificial intelligence, journalism, software engineering, and domain-specific knowledge.
By leveraging the diverse skill sets and experiences of its team members, Applied AI Labs endeavors to tackle real-world problems and develop solutions that harness the power of AI technology.
We are seeking a talented AI Engineer with expertise in LLMs on a 2 year contract basis to help in revolutionizing the way people interact with technology.
As an AI Engineer specializing in Generative AI and Large Language Models (LLMs), you will play a key role in the development and optimization of advanced AI systems. You will collaborate closely with cross-functional teams to design, build, and deploy LLM-based solutions that address a wide range of challenges in the media industry.
In this role, you will:
- Design, develop, and implement scalable algorithms and models to enhance LLM performance and capabilities.
- Collaborate with software engineers, data scientists, and product managers to integrate LLM-based solutions into existing and new products.
- Conduct thorough experiments and evaluations to assess the performance and effectiveness of LLM models.
- Stay up-to-date with the latest advancements in AI, machine learning, and NLP research, and apply relevant findings to improve LLM technologies.
- Provide technical guidance and mentorship to junior team members, fostering a culture of innovation and excellence.
- Collaborate with cross-functional teams to define requirements, prioritize tasks, and deliver high-quality solutions on time.
- Comfort with probabilistic instead of deterministic processes
Requirements:
- Bachelor’s degree or higher in computer science, engineering, or a related field.
- Experience with designing, developing, and consuming RESTful APIs for integrating LLM-based services into larger systems.
- Proven experience (3+ years) in developing and deploying large language models (e.g., OpenAI, Gemini, Claude) in production environments.
- Strong background in machine learning, deep learning, and natural language processing, with a focus on LLMs.
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and distributed computing environments.
- Solid understanding of software engineering principles, including version control, testing, and debugging.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
- Strong communication and interpersonal skills, with the ability to effectively convey complex technical concepts to diverse audiences.
Good to have:
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, and/or other relevant frameworks and libraries.
- Experience with deploying and maintaining LLM-based systems in real-world applications.
