Gen AI - Engineering Lead

Job Description: Design and implement server\-side logic, define and maintain databases, and integrate user\-facing elements developed by front\-end developers. Ensure high performance and responsiveness of applications, and implement security and data protection measures.

• Responsibilities: Design, develop, and deploy Generative AI and machine learning solutions using large language models and modern AI frameworks.
• Implement **LLM fine\-tuning, prompt engineering, retrieval\-augmented generation (RAG), and model optimization** techniques.
• Deploy and manage **AI/ML pipelines and GenAI applications in production environments** using cloud platforms such as **Azure or GCP** .
• Build and maintain **agentic AI systems** leveraging modern orchestration and agent frameworks.
• Work with large datasets to build data pipelines and ensure effective model training and evaluation.
• Develop AI solutions using **Python and modern ML libraries** .
• Manage deployments and infrastructure in **Linux\-based environments** .
• Ensure **secure processing and governance of sensitive data** , including **PII and PHI** , adhering to enterprise security and compliance standards.
• Optimize AI models and infrastructure for **performance, scalability, reliability, and cost efficiency** .
• Collaborate with cross\-functional teams to integrate AI models into enterprise applications and production systems.
• Document model architectures, experiments, deployment pipelines, and operational processes.
• Stay current with emerging developments in **Generative AI, LLMs, and AI engineering practices** .

• Qualifications: Bachelor’s degree in Engineering, Computer Science, AI/ML, Data Science, or a related technical field .
• **10\+ years of overall professional experience** in software engineering, machine learning, or AI engineering.
• **Minimum 3\+ years of hands\-on experience working with Generative AI technologies and LLMs** .
• Strong programming experience in **Python** .
• Proven experience **fine\-tuning, deploying, and optimizing large language models** .
• Experience deploying **Generative AI solutions into production environments** .
• Hands\-on experience working with **Linux\-based systems** .
• Experience with **cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP)** .
• Experience building **ML pipelines and deploying AI models using modern MLOps practices** .
• Experience handling and securing **sensitive data such as PII and PHI** in compliance with security and regulatory requirements.