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A leading company is seeking an AI Engineer to join its AI & Automation Centre of Excellence. The successful candidate will develop AI solutions to enhance operational efficiency. This role requires a hands-on full stack developer passionate about Generative AI and automation technologies, alongside strong leadership and collaboration skills.
We are seeking a passionate and skilled AI Engineer to join our AI & Automation Centre of Excellence. This role will be instrumental in driving the development and implementation of AI solutions that enhance operational efficiency across the organization. The ideal candidate is a hands-on full stack developer with strong interests in GenAI, workflow automation, and agentic AI technologies.
Design and implement internal GenAI applications, including chatbot systems, Retrieval-Augmented Generation (RAG) pipelines, and autonomous agentic AI solutions.
Fine-tune large language models (LLMs) using internal datasets to improve performance for domain-specific tasks.
Collaborate with and manage offshore developers and external partners to ensure timely and quality delivery of AI and automation projects.
Support and guide business users in the Citizen Developer program to promote AI and automation literacy and adoption.
Maintain and enhance existing AI and automation platforms, ensuring availability, scalability, and performance.
Work closely with relevant teams internally to ensure alignment and coordination across operations as part of the seamless implementation of AI & Automation projects.
A Bachelor's degree in computer science, management information systems, or related field, or equivalent combination of education.
Strong coding skills in Python and JavaScript/TypeScript.
Familiarity with RESTful APIs, web app frameworks (e.g., FastAPI, Flask, Node.js), and front-end frameworks (e.g., Svelte, React, Vue).
Experience with GenAI deployment platforms such as Open WebUI, Ollama API, or Azure OpenAI. And Hands-on experience in fine-tuning LLMs (e.g., LLaMA, GPT) with internal datasets.
Familiar with TensorFlow; knowledge of PyTorch and experience with LangChain, LlamaIndex, AutoGen, or CrewAI for agentic AI development is a plus.
Solid experience with Docker, Kubernetes, and Ubuntu Linux environments.
Ability to manage and collaborate with offshore teams and vendors.
Strong problem-solving skills and a proactive attitude toward innovation.
Deep passion for AI and eagerness to explore and apply new technologies.