We are seeking a highly qualified AI/ML Engineer to join our rapidly growing AI Engineering Team within our Commercial division.
As an AI/ML Engineer on the Core Product team, you'll play a crucial role in adapting cutting-edge AI research for our production B2B AI Agent platform. Your primary focus will be on ensuring AI features perform robustly in production environments while driving innovation around efficiency and performance optimization. You'll work at the intersection of AI, applications, and data to create seamless user experiences that push the frontier of AI Agent products.
This is an exceptional opportunity to shape the future of AI Agent technology at a high-growth startup working with leading innovators in the AI field. You'll be responsible for taking promising research and making it production-ready, scalable, and reliable for enterprise customers across industries.
This position is fully remote and open to candidates who are authorized to work for any employer in their country of residence. We are unable to sponsor work visas at this time. Candidates must be available to work during EST business hours.
Responsibilities:
- Implement and optimize AI models for production deployment in our B2B AI Agent platform
- Build robust training and deployment pipelines that integrate seamlessly with application and data infrastructure
- Develop innovative solutions for AI Agent efficiency, performance, and scalability challenges
- Collaborate with Application and Data teams to create integrated AI-powered user experiences
- Design and implement model serving architectures that handle enterprise-scale workloads
- Optimize inference performance and resource utilization for cost-effective production deployment
- Troubleshoot and resolve complex AI performance issues in production environments
- Contribute to the evolution of our AI Agent product architecture and technical roadmap
- Ensure AI features maintain high reliability and performance standards in live customer environments
Required skills and experience:
- Bachelor's or Master's Degree in Computer Science, Machine Learning, AI, or related field OR equivalent work experience OR an equivalent combination of both education and experience
- Strong programming skills in Python with proven ability to build production-grade ML systems
- Hands-on experience training, optimizing, and deploying machine learning models in production environments
- Proficiency with Linux/Ubuntu CLI and ability to manage ML infrastructure
- Experience with GPU optimization, resource management, and performance tuning for production workloads
- Solid understanding of model serving architectures, API design, and system integration patterns
- Experience with Docker containerization and cloud-based ML deployment strategies
- Strong problem-solving skills and ability to optimize AI systems for production constraints
- Experience working in remote environments with cross-functional teams
Desired skills:
- Experience with HuggingFace transformers and model optimization techniques
- Knowledge of MLFlow, model registries, and ML operations (MLOps) best practices
- Experience with API development and microservices architectures
- Background in building scalable, high-availability AI systems
- Familiarity with monitoring, logging, and observability tools for production ML systems
- Understanding of containerization orchestration (Kubernetes) and cloud platform services
Salary based on skills and experience