AI Engineer

Rarefied IT Solutions Inc

Woodbridge Township (NJ)

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

Rarefied IT Solutions Inc is seeking a skilled professional with expertise in AI technologies, particularly large language models (LLMs). The role requires proficiency in Python, as well as experience with automation tools and cloud deployment using AWS services.

Qualified candidates should possess strong knowledge of Generative AI concepts and familiarity with leading AI frameworks. Familiarity with frontend technologies is a plus. This position is based in Woodbridge Township, New Jersey, USA.

Qualifications

  • Proven experience with large language models (LLMs), including fine-tuning and prompt engineering.
  • Strong understanding of agentic AI concepts and trends in Generative AI.
  • Proficiency in Python and hands-on experience with AI/ML frameworks.

Skills

LLM Expertise
Agentic & Generative AI Knowledge
Programming & Frameworks
Automation Tools
Cloud & Deployment
Frontend Knowledge
AI Providers

Job description

Required Qualifications
  • LLM Expertise: Proven experience with large language models (LLMs), including fine-tuning, prompt engineering, and performance optimization.
  • Agentic & Generative AI Knowledge: Strong understanding of agentic AI concepts, Retrieval-Augmented Generation (RAG), Memory-Context-Persistence (MCP), and emerging trends in Generative AI (GenAI).
  • Programming & Frameworks: Proficiency in Python and hands‑on experience with leading AI/ML frameworks such as Hugging Face, LangChain, and LlamaIndex.
  • Automation Tools: Practical experience with automation platforms like n8n or Zapier for workflow orchestration and task automation.
  • Cloud & Deployment: Experience deploying or managing AI models on AWS, specifically using services like Lambda, SageMaker, and Bedrock.
  • Frontend Knowledge (Bonus): Familiarity with React Native or React.js is a strong added advantage.
  • AI Providers: Exposure to multiple cloud platforms and AI model providers (e.g., OpenAI, Anthropic, Cohere), with understanding of their specific strengths and use cases.
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