Artificial Intelligence Engineer

Senior AI/ML Engineer | Austin, Texas | Full-Time - On-Site

I’m supporting an Austin-based technology company with the appointment of a highly experienced AI/ML Engineer.

This is a hands-on model-engineering position

• not a prompt-engineering role or an opportunity focused primarily on connecting applications to third-party AI APIs.

The company needs someone who has taken meaningful ownership of machine-learning models across several stages of their lifecycle: experimentation, training, adaptation, evaluation, performance improvement, release and production operation.

The expected level is five or more years in machine learning, research engineering or technically comparable software development. More important than the number of years, however, is evidence of what you have personally built.

Your background should demonstrate several of the following:

• Training, fine-tuning or otherwise materially modifying deep-learning models
• Releasing a model or taking one from research prototype into real-world use
• Building evaluation methods and making informed decisions around model quality
• Deploying model-driven systems within a commercial, customer-facing environment
• Strong Python experience with frameworks such as PyTorch, JAX or TensorFlow
• Practical experience improving GPU utilization, inference speed or training efficiency
• Familiarity with the CUDA ecosystem and the constraints of high-performance workloads
• Making trade-offs between accuracy, latency, throughput, reliability and infrastructure cost
• Operating independently in an environment where the technical path is not already defined

Particular interest will be given to engineers who can point to something tangible they have created: a model, repository, technical paper, product capability, optimization project or system operating in production.

Relevant specialist experience could include transformer architectures, language models, multimodal systems, distributed training, model compression, quantization, compilation, optimized serving or lower-level GPU performance work.

Further information about the company, working arrangement and technical objectives will be shared selectively during an initial confidential conversation.