Position Details
About this role
Distinguished AI Engineer role focused on architecting and launching production conversational experiences powered by state-of-the-art Generative AI. You will design, develop, deploy, and support foundational AI components and drive performance optimization for large-scale systems.
Key Responsibilities
- Architect and launch conversational experiences powered by Generative AI
- Design, develop, test, deploy, and support AI software components (foundation model training, LLM inference, similarity search, guardrails)
- Leverage open source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch
- Invent LLM optimization techniques to improve scalability, cost, latency, and throughput
- Contribute to the technical vision and long-term roadmap for foundational AI systems
Technical Overview
Build AI software components covering foundation model training and large language model inference, plus similarity search, guardrails, evaluation, experimentation, governance, and observability. Work with open source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch, and apply LLM optimization techniques for scalability, cost, latency, and throughput.
Ideal Candidate
The ideal candidate is a senior AI engineer focused on Generative AI who can architect conversational experiences for large-scale customer delivery. They have deep hands-on experience with foundation model training, large language model inference, guardrails, evaluation, and LLM optimization, and are proficient with open source AI tooling such as Huggingface and PyTorch as well as AWS Ultraclusters and VectorDBs.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Demonstrated ability to design and deploy AI systems including foundation model training and large language model inference, Hands-on experience with Generative AI tooling such as Huggingface and PyTorch, Experience implementing guardrails, model evaluation, and observability
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