LLM Engineer
US client via staffing partner · Dallas, TX (Remote)
- Location
- Dallas, TX (Remote) · Remote
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Python · PyTorch · TensorFlow · Hugging Face · spaCy · Scikit-Learn · LLM · Generative AI · Llama · Mistral · Gemma · DeepSeek · vLLM · Ollama · TensorRT-LLM · Triton · Docker · Kubernetes · Linux · CUDA
About the role
Role: LLM Engineer Locations: Dallas, TX (Remote) Mode of Hire: Contract Job Description: - seeking an experienced LLM Engineer with 7+ years of software engineering experience, including 4+ years dedicated to Al/ML. You will design, develop, fine-tune, and deploy state-of-the-art Large Language Models (LLMs) and Generative Al applications directly within our on premises, air-gapped enterprise infrastructure. - In this role, you to-end lifecycle of local GenAl solutions from self-hosted model serving and custom prompt engineering to fine-tuning open-weight models (e.g, Llama 3, Mistral, Qwen) while ensuring strict enterprise data privacy, security, and low latency. Required Qualifications & Technical Skills Experience: - 7+ years of overall software development experience, with 4+ years of hands-on experience in Machine Learning Deep Learning, and Al Python Mastery: Expert-level Python skills and deep familiarity with core Al ecosystems: PyTorch, TensorFlow, Hugging Face (transformers, peft, datasets, accelerate), spaCy, and Scikit-Learn - Self-Hosted/ Open-Source LLMs: Hands-on experience working with open-weight foundation models (Llama, Mistral, Gemma, DeepSeek, local serving engines (VLLM, Ollama, TensorRT-LLM. Triton) - On-Prem Infrastructure & Orchestration: Solid understanding of Linux - Docker/Kubernetes (OpenShift, Rancher, microk8s), local GPU orchestration, and CUDA driver configurations. - Deployments: Proven track record of deploying at GenAl application Environment.
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