AI Platform Engineer
Core
Designing and delivering AI-enabled enterprise platforms, including LLM-based solutions, embeddings, and retrieval patterns.
Role type
Principal AI Platform Engineer (MLOps/GenAI)
Builds
Scalable, secure, cloud-native AI services and microservices supporting enterprise workloads.
Domain
Enterprise AI, MLOps, Generative AI, Cloud-Native Systems
Deliverable
production ML models | product features | infrastructure
Required skills
MLOps (CI/CD, monitoring, evaluation), .NET Core/C#, distributed systems, microservices architecture, vector databases, model fine-tuning, secure coding, technical leadership
Preferred skills
Python, Go, TypeScript, SQL, NoSQL, GPU compute orchestration
Technologies
.NET Core, C#, Python, Go, TypeScript, vector databases, cloud-native platforms
Responsibilities
Lead design and delivery of AI-enabled enterprise platforms; build and improve applied AI solutions; set engineering standards for MLOps; architect secure, cloud-native services; coach engineers and collaborate across teams.
Seniority
Principal, hands-on IC with mentorship
