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Lead Software Engineer / LLM Engineer

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Onsite

Lead Software Engineer / LLM Engineer

Spark Tek USA

Lead Software Engineer / LLM Engineer

Skills

Deep LearningDockerPythonData SciencePyTorchTensorFlowMachine LearningAILinuxKubernetes

16 days ago

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Important information


Contract type:

Freelance / Contract

Salary:

$166,400 – $176,800 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

5 October 2026

What they need


Job Title: Lead Software Engineer

Location: New York, NY

Experience: 10+ Years

Job Description

We are seeking an experienced LLM Engineer with 10+ years of software engineering experience, including 4+ years dedicated to AI/ML. You will design, develop, fine-tune, and deploy state-of-the-art Large Language Models (LLMs) and Generative AI applications directly within our on-premises, air-gapped enterprise infrastructure.

In this role, you will lead the end-to-end lifecycle of local GenAI 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: 10+ years of overall software development experience, with 4+ years of hands-on experience in Machine Learning, Deep Learning, and AI.
  • Python Mastery: Expert-level Python skills and deep familiarity with core AI 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, Qwen) and 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 least one end-to-end GenAI application in a production environment.
  • Education & Core Competencies: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related quantitative field. Strong problem-solving, analytical, and cross-functional communication skills.

Pay: $80.00 - $85.00 per hour

Work Location: In person

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