Edge LLM Engineer

InfoSpeed Services, Inc.

Seeking professionals skilled in deploying and optimizing LLMs on edge devices, focusing on model optimization and cache techniques.

Last checked on June 16, 2026. We may earn a commission when you click through.

✓ Opportunity to work with leading AI frameworks. ✓ Involvement in model optimization tasks. ✓ Focus on efficient solutions in edge computing.

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Edge LLM Engineer

InfoSpeed Services, Inc.

Updated 2 months ago

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Kanpur

For experienced engineers, this position at InfoSpeed offers a chance to work on AI technologies.

About this role

Seeking professionals skilled in deploying and optimizing LLMs on edge devices, focusing on model optimization and cache techniques.

About the Company

InfoSpeed Services, Inc. specializes in innovative technology solutions and is committed to enhancing AI capabilities.

Key Highlights

✓ Hands-on experience with Hugging Face and PyTorch.
✓ Expertise in ONNX and TensorRT for model optimization.
✓ Knowledge of RAG and Vector Databases.
✓ Ability to work under compute and memory constraints.
✓ Focus on building efficient AI solutions.

💡 Honest Take: This role demands a high level of technical expertise, making it ideal for seasoned professionals rather than newcomers.

Pros

✓ Opportunity to work with leading AI frameworks.
✓ Involvement in model optimization tasks.
✓ Focus on efficient solutions in edge computing.
✓ Strong emphasis on practical implementation.

Cons

✗ Limited to those with advanced skills in LLMs.
✗ No remote work options available.
✗ Potentially high pressure due to constraints.

Best For: Ideal for professionals with a solid background in AI and edge computing, particularly those looking to advance their careers.

Watch Out: Be prepared for a demanding role that may require quick adaptability to new technologies and methods.

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What Customers Say

Feedback from current employees highlights the challenging yet rewarding nature of the work environment.

Expert Review

This Edge LLM Engineer position at InfoSpeed Services, Inc. is tailored for those with solid expertise in AI frameworks like Hugging Face and PyTorch. With a focus on model optimization, candidates should be comfortable working with ONNX and TensorRT, which are crucial for enhancing model performance on edge devices.

The role emphasizes the need for experience in deploying LLMs while managing compute and memory constraints. This could be a challenging environment, especially for candidates who may not have extensive hands-on experience with RAG and Vector Databases.

While this position provides an excellent opportunity to work on innovative AI solutions, it is not suitable for entry-level professionals. The lack of remote work options adds to the intensity, so applicants should be prepared for a traditional office setting in Kanpur. For more details, visit the official listing at InfoSpeed's page.