Lead AI Engineer - Python / Java

Job Description :

• 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 Skills & Qualifications :
• Bachelors 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 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 challenge

(ref : hirist.tech)