Senior Software Engineer AI

Senior Software Engineer – AI

Key Responsibilities:

• Design, develop, and deploy robust and scalable AI/ML models and GenAI solutions
• Implement ML workflows including data preprocessing, feature engineering, model training, validation, and deployment
• Develop and optimize data pipelines for training and inference
• Integrate LLMs using prompt engineering techniques to solve domain-specific problems
• Collaborate with cross-functional teams for solution prototyping using low-code/no-code or rapid development tools
• Ensure ML model monitoring, versioning, and lifecycle management through MLOps practices
• Leverage cloud services (AWS, Azure, or GCP) to build and scale AI/ML solutions
• Research and experiment with Agentic AI and other emerging technologies as applicable

Required Skills & Qualifications:

• 4–6 years of experience in AI/ML development and deployment
• Strong proficiency in Python and ML/DL frameworks such as TensorFlow or PyTorch
• Proven experience working with Generative AI, LLMs, and prompt engineering
• Experience building and managing data pipelines and implementing MLOps
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Exposure to low-code/no-code platforms or rapid prototyping tools
• Strong problem-solving skills and the ability to work in a fast-paced environment
• Excellent communication and collaboration skills

Preferred Qualifications:

• Experience or research in Agentic AI systems
• Familiarity with API integrations, vector databases, and model fine-tuning techniques
• Contributions to open-source AI/ML projects or published research is a plus