Lead AI Engineer

A rapidly growing technology company is seeking a Lead AI Engineer to design, build, and scale production-grade AI systems that power mission-critical business workflows. This is a fully remote opportunity for a hands-on technical leader who can bridge advanced AI capabilities with reliable, scalable backend infrastructure. You will work with global engineering teams to deliver high-impact AI solutions used by real customers at scale.
 

Role:

🤖 Lead the architecture, development, and deployment of enterprise AI systems and intelligent automation solutions.

🏗️ Design AI orchestration frameworks that connect large language models, backend services, and business workflows.

⚡ Own end-to-end AI infrastructure, including inference pipelines, routing strategies, caching mechanisms, and failover systems.

📊 Drive engineering decisions related to scalability, performance, reliability, latency optimization, and cost efficiency.

🔍 Build and maintain observability systems, including monitoring, logging, tracing, and alerting capabilities.

🤝 Collaborate with product managers, software engineers, DevOps teams, and business stakeholders to deliver AI-powered features.

🛠️ Troubleshoot complex production issues across distributed systems and lead root-cause analysis efforts.

📚 Establish engineering best practices, technical standards, and architectural guidelines for AI development.

👨‍🏫 Mentor engineering teams and provide technical leadership across multiple projects.
 

Requirements:

🎓 Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

💼 Extensive experience in backend engineering, AI engineering, or machine learning systems in production environments.

🧠 Hands-on experience building and scaling AI applications using LLMs, embeddings, recommendation systems, or workflow automation technologies.

🏗️ Strong expertise in distributed systems architecture and large-scale system design.

⚙️ Experience developing production inference pipelines and AI orchestration platforms.

📡 Deep understanding of observability, monitoring, incident management, and production operations.

💻 Proficiency with Python, Node.js, SQL, NoSQL databases, Docker, and Kubernetes.

🔗 Experience integrating OpenAI, Anthropic, open-source models, or other LLM platforms into production applications.

🌍 Ability to lead technical initiatives in fast-paced, globally distributed teams.
 

Benefits:

💰 Competitive salary package based on experience and location.

🏠 100% Remote work flexibility.

🏥 Medical, dental, and vision insurance.

💵 Savings and retirement plan options.

🏖️ Paid time off and company holidays.

📚 Professional development and continuous learning opportunities.

🚀 Opportunity to shape the future of AI products and large-scale intelligent systems.

🌎 Collaborative global engineering environment with cutting-edge technologies.
 

Skills Keywords:

Artificial Intelligence, AI Engineering, Machine Learning, Large Language Models, LLM, OpenAI, Anthropic, AI Orchestration, Distributed Systems, Python, Node.js, Docker, Kubernetes, SQL, NoSQL, Backend Engineering, Observability, Monitoring, Logging, Tracing, AI Infrastructure, Inference Pipelines, Workflow Automation, Cloud Engineering, System Design, DevOps, Production AI Systems, Generative AI, Technical Leadership, Remote Work.