Senior AI Engineer

About This Opportunity

We are representing a confidential consulting organization seeking a Senior AI Engineer to join their technology delivery practice. This is a remote opportunity where you'll design, build, and deploy advanced generative AI and agentic systems for enterprise clients in regulated industries. You'll work hands-on across the full AI engineering lifecycle, from architecting intelligent multi-agent systems to deploying scalable production-grade applications.

Responsibilities

• Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video
• Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations
• Fine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performance
• Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments
• Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments

What We're Looking For

Required Qualifications:

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline
• Proven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environments
• Strong software engineering expertise in Python, including backend development, API design, and distributed systems
• Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architectures
• Excellent communication, stakeholder management, and problem-solving skills within agile delivery environments

Preferred Skills:

• Experience building AI agent frameworks or autonomous orchestration platforms
• Knowledge of vector databases, semantic search, and advanced RAG architectures
• Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads
• Familiarity with financial services, banking, or regulated enterprise environments
• Exposure to AI governance, model monitoring, and responsible AI practices

How We Work With You

When you apply through Get A Job.ai, our recruitment team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. Throughout the process, we serve as your advocate and primary point of contact. Please do not contact the client directly, as all communication should flow through our talent team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work with clients who share our commitment to building diverse teams.