We are seeking a highly skilled Principal Generative AI Engineer with expertise in Natural Language Processing (NLP) to design and deploy innovative AI solutions. The ideal candidate will have experience with on-premise model deployment and normalization strategies for NLP applications. This role involves working collaboratively with multidisciplinary teams to deliver scalable and impactful Generative AI solutions while leading efforts in integrating advanced technologies into enterprise systems.
Key Responsibilities
• Design, develop, and optimize Generative AI models using transformers, RAG, and large language models (LLMs) like GPT or BERT for NLP tasks.
• Implement and fine-tune NLP models for diverse applications, ensuring compatibility with on- premise systems.
• Apply prompt engineering, data augmentation, and fine-tuning techniques to enhance the efficiency and performance of AI models.
• Develop and manage retrieval-augmented generation pipelines, ensuring robust integration with knowledge bases.
• Preprocess and normalize large-scale NLP datasets to improve data quality and model readiness.
• Deploy and maintain Generative AI solutions in on-premise environments, ensuring security, scalability, and compliance.
• Optimize deployment pipelines for real-time and batch processing, focusing on operational efficiency.
• Continuously monitor and evaluate model performance using advanced metrics and stakeholder feedback, implementing improvements as needed.
• Collaborate with product managers, data scientists, and engineering teams to align AI solutions with business goals.
• Lead, mentor, and inspire junior engineers, fostering a culture of innovation and excellence.
• Communicate complex technical concepts to both technical and non-technical stakeholders effectively.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 5+ years of hands-on experience in machine learning and Generative AI, with a focus on NLP applications.
• Strong proficiency in Python, including libraries like pandas, numpy, scikit-learn, and matplotlib.
• Expertise in Generative AI techniques, including RAG, prompt engineering, and fine-tuning LLMs.
• Solid understanding of NLP concepts and the end-to-end ML lifecycle.
• Experience with modern LLM frameworks such as LangChain, Autogen, or similar tools.
• Proficiency in deploying models in on-premise environments and integrating with existing infrastructure.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for hybrid deployments.
• Excellent problem-solving and analytical skills, with a creative and critical mindset.
• Proven track record of leading teams and mentoring engineers to deliver high-quality AI solutions.
• Strong communication and collaboration skills for cross-functional teamwork.
• Experience in monitoring, evaluating, and optimizing deployed ML models in production.
We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture.Confiz is ISO 9001:2015 (QMS),ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making the workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/