Generative AI Engineer

Job Title:

AI Engineer

Company Overview:

Our client, a leading technology solutions provider, specializes in developing innovative AI-driven applications for enterprise environments. They are committed to leveraging cutting-edge AI technology to enhance operational workflows and deliver exceptional value to their clients.

Role Overview:

We are seeking a skilled AI Engineer to lead the development, deployment, and operational management of advanced AI solutions. This role offers the opportunity to work on scalable, real-world systems that transform how organizations utilize AI, with a focus on generative models, distributed agent architectures, and cloud-native platforms.

Key Responsibilities:

• Architect and maintain AI-enabled applications using large language models, retrieval-based systems, and ML lifecycle best practices
• Design distributed multi-agent workflows to automate and optimize operational processes
• Build and optimize cloud-native backend systems utilizing serverless, containerized, and event-driven architectures
• Ensure AI systems adhere to security, data governance, and responsible AI standards
• Develop prompt strategies, performance monitoring, and continuous iteration for deployed models
• Collaborate closely with product teams to translate operational needs into scalable technical solutions
• Support system observability, resilience, and scalability to ensure high availability and performance

Requirements

Must-Have Qualifications:

• Minimum 3 years of software engineering experience with proficiency in Python and deployment of production systems
• Hands-on experience with AI/ML deployment, including model hosting, monitoring, and lifecycle governance
• Familiarity with cloud infrastructure (AWS, Azure, GCP) and microservices architecture
• Experience working with large language models, retrieval pipelines, and distributed agent systems

Nice-to-Have Qualifications:

• Exposure to regulated environments and secure data handling standards
• Background in NLP applications involving unstructured or structured documentation workflows
• Knowledge of MLOps tooling such as experiment tracking, model registries, and AI observability solutions
• Experience with agent orchestration frameworks and multi-agent workflow management

The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.