Role: AI Engineer (Senior)
Year: 2026
Qualification: Bachelors/Masters
Experience (years): 5-10
Job description:
Software Requirements
• In-depth expertise in Generative AI and Agentic AI technologies
• Programming proficiency in Python, with experience in frameworks such as PyTorch, TensorFlow, or similar for AI model development
• Familiarity with cloud AI services like AWS SageMaker, Azure Machine Learning, or GCP AI platform
• Understanding of APIs and integrations for deploying AI models effectively
• Experience with data management tools and version control systems like Git
• Knowledge of blockchain and IoT as they relate to AI deployment
• Experience using automation and orchestration tools in AI workflows 
• Programming Languages: Python (required), R, Java (preferred)
• AI Frameworks & Libraries: PyTorch, TensorFlow, GPT/Transformers, OpenAI API, Hugging Face (required)
• Data Management: Data preprocessing, management, and model training data pipelines
• Cloud Technologies: AWS, Azure, GCP (preferred)
• Model Deployment & APIs: REST API development, containerization with Docker, orchestration with Kubernetes
• Tools & Methodologies: Agile, CI/CD pipelines, Git version control, model versioning tools
• Security & Ethics: Data privacy, AI fairness, and compliance considerations
Experience Requirements
• At least 5-7 years of experience in software development and leading technology projects
• Proven track record of delivering AI solutions that enhance business operations
• Experience mentoring engineering teams in AI project execution
• Industry experience in banking, finance, or enterprise environments preferred
• Alternative experience: extensive innovation in AI, natural language processing, or digital transformation initiatives 
Technical skills: Python, GenAI, TensorFlow/Pytorch, AWS/Azure, MCP, ML, APIs, Git, Github, Python, Java, Docker, Kubernetes, CI/CD, NLP
Soft skills: Communication, Problem Solving, Analytical Skills