• We are seeking a highly skilled Senior Software Engineer with expertise in Generative AI, Retrieval Augmented Generation (RAG), Artificial Intelligence (AI), Machine Learning (ML), and DevOps practices
• The ideal candidate will have a strong background in software development and a passion for leveraging cutting edge technologies to drive innovation and efficiency
• This role requires a proactive individual who can work collaboratively in a fast paced environment and contribute to the design and implementation of advanced software solutions

Responsibilities:

• Design, develop, and maintain software applications utilizing Generative AI and RAG technologies
• Collaborate with cross functional teams to gather requirements and translate them into technical specifications
• Implement machine learning models and algorithms to enhance application functionality and performance
• Utilize DevOps practices to streamline development processes, including CI/CD pipelines, automated testing, and deployment
• Conduct code reviews and provide mentorship to junior developers, fostering a culture of continuous improvement
• Stay updated with the latest industry trends and technologies related to AI, ML, and software development
• Participate in troubleshooting and debugging efforts to resolve software issues efficiently
• Document software designs, processes, and best practices for future reference

Mandatory Skills:

• Proven experience in Generative AI technologies and frameworks
• Strong understanding of Retrieval Augmented Generation (RAG) methodologies
• Proficiency in programming languages such as Python, Java, or C++
• Experience with machine learning libraries and frameworks (eg, TensorFlow, PyTorch, Scikit learn)
• Solid understanding of DevOps practices and tools (eg, Docker, Kubernetes, Jenkins)
• Excellent problem solving skills and ability to work under pressure
• Strong communication and collaboration skills

Preferred Skills:

• Experience with cloud platforms (eg, AWS, Azure, Google Cloud)
• Familiarity with data engineering concepts and tools
• Knowledge of software architecture patterns and design principles
• Experience in Agile methodologies and project management tools
• Qualifications:Bachelors or Masters degree in Computer Science, Engineering, or a related field
• 5 7 years of relevant work experience in software development, with a focus on AI and ML
• Demonstrated ability to deliver high quality software solutions on time and within budget