About the role
We are seeking an experienced AI Lead Engineer to join our dynamic team, driving innovation in AI-driven solutions with a global impact. This role is specifically tailored for a highly motivated professional with a strong technical background in Python and Java; hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based chatbots, machine learning, and deep learning; and solid cloud deployment experience, preferably on AWS.
As our AI Lead Engineer, you will spearhead the end-to-end development lifecycle, including solution architecture, design, implementation, deployment, and scaling of cutting-edge AI applications. Your leadership will ensure the delivery of high-performance, reliable, and impactful solutions.
Responsibilities:
- Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions.
- Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability.
- Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimising performance and resource utilisation.
- Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively.
- Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments.
- Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation.
- Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products.
Requirements:
- Bachelor's or master's degree in computer science, engineering, data science, mathematics, statistics or related fields.
- At least 5 years of professional experience in AI/machine learning engineering.
- Strong programming skills in Python and Java.
- Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications.
- Proficiency in cloud platforms, particularly AWS, including experience with EC2 Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway.
- Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations.
- Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes.
Preferred Qualifications:
- AWS certifications (e. g., AWS Solutions Architect, AWS Machine Learning Speciality).
- Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar.
- Experience in Agile development methodologies.
- Excellent communication skills, capable of conveying complex technical concepts clearly and effectively.
- Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges.