AI Engineer - LLMs, Agentic Systems & GenAI
Overview
An AI Engineer builds and deploys generative AI and agentic systems at scale. You will design, build, and deploy scalable solutions in cloud and distributed environments, leveraging LLMs and prompt engineering to solve challenges. As part of a collaborative team, you will work with large, text-based datasets to drive innovation. This role offers the autonomy to own technical decisions while working fully remote with occasional travel to Washington, D.C.
What You'll Do7
- 1Design and deploy generative AI and agentic systems in cloud environments.
- 2Apply ML and prompt engineering to improve LLM performance on text datasets.
- 3Build scalable data pipelines for processing large, text-based datasets.
- 4Collaborate with cross-functional teams to integrate AI solutions into products.
- 5Conduct experiments and iterate on model architectures and hyperparameters.
- 6Monitor and maintain deployed models for reliability and performance.
- 7Document system designs and contribute to technical knowledge sharing.
Requirements7
- 15+ years of experience in AI and ML development.
- 2Proficiency with Python and frameworks like PyTorch or TensorFlow.
- 3Hands-on experience with LLMs, RAG, and prompt engineering.
- 4Experience building agentic systems and using orchestration tools.
- 5Knowledge of AWS or GCP for deploying ML models.
- 6Familiarity with Docker and Kubernetes for containerization.
- 7Strong problem-solving skills in distributed computing environments.
Salary Insight
$100 - $108k per year
Location
Required Skills
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