Principal Generative AI (GenAI) Engineer

As a Principal Generative AI (GenAI) Engineer, you will be at the forefront of developing and deploying advanced Generative AI solutions that drive innovation and business value. Your role will involve designing, optimizing, and implementing cutting-edge AI models and techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). You will work closely with cross-functional teams to integrate these technologies into our products and services, ensuring they meet both performance and business requirements. Your deep understanding of AI, coupled with your ability to stay current with the latest advancements, will be critical in shaping the future of our AI capabilities.

Duties/Responsibilities:

1. Actively design, develop, and deploy advanced Generative AI applications, utilizing techniques such as prompt engineering and Retrieval-Augmented Generation (RAG).
2. Collaborate closely with data scientists, ML engineers, and product teams to translate business requirements into scalable, production-ready GenAI applications.
3. Experiment with and rigorously evaluate new Generative AI techniques and models, including LLMs and RAG, ensuring they meet high standards for performance, scalability, and ethical integrity.
4. Explore and implement agentic frameworks and techniques, to develop AI systems capable of autonomous decision-making and task execution, pushing the boundaries of whats possible with GenAI.
5. Stay at the forefront of Generative AI research, continuously integrating the latest advancements in LLMs, RAG, and related fields to enhance and evolve existing solutions.
6. Optimize GenAI models for real-world deployment, balancing computational efficiency with high performance and accuracy.
7. Seamlessly integrate GenAI models into production environments, ensuring robust operation, effective monitoring, and ongoing maintenance.
8. Contribute to the development and refinement of best practices, coding standards, and guidelines specific to Generative AI technologies, with a focus on practical implementation, including prompt engineering.
9. Participate in continuous learning and professional development to maintain expertise in AI/ML technologies and emerging trends.
10. Contribute to innovation through patent filings, publications, and other forms of intellectual property generation related to Generative AI advancements Qualifications

Required Skills/Abilities:

• Deep understanding of machine learning algorithms, neural networks, and natural language processing (NLP).
• Expertise in working with state-of-the-art Generative AI models, including model fine-tuning, optimization, and deployment.
• Proficiency in prompt engineering to design and optimize prompts for Generative AI models, ensuring they produce high-quality and relevant outputs.
• Strong experience with Retrieval-Augmented Generation (RAG) techniques to enhance the capabilities of LLMs by integrating external knowledge sources.
• Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other relevant AI/ML frameworks.
• Experience with data pre-processing, data augmentation, and handling large datasets.
• Familiarity with ethical considerations and bias mitigation strategies in AI model development.
• Strong software engineering skills, including experience with version control (Git), CI/CD pipelines, and cloud platforms (AWS, Azure, Google Cloud).
• Ability to build, deploy, and maintain scalable AI/ML pipelines that integrate Generative AI models and techniques like RAG.
• Experience with APIs and microservices architecture for integrating AI solutions into existing systems.
• Strong problem-solving skills, creativity, and a passion for innovation in the AI space.
• Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• Ability to mentor and guide junior engineers, fostering a culture of continuous learning and innovation.
• Proven track record of developing and deploying production-level AI/ML solutions.

Education and Experience:

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field preferred.
• D. in AI, Machine Learning, or a related discipline preferred.
• 8+ years of experience in software engineering, with at least 4+ years focused on AI/ML strongly preferred
• Experience working specifically with Generative AI technologies and models.
• Experience working with Large Language Models (LLMs), including transformer-based architectures like GPT and BERT strongly preferred.