Lead AI Engineer

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, 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.

Key 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, optimizing performance and resource utilization.
• 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.

Required Qualifications:

• 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 Specialty).
• 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.