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AI Engineer

Jobright.ai

🇺🇸Santa Clara, USjunior

  • anthropic
  • crewai
  • git
  • hugging face
  • langchain
  • openai
  • python
  • rest apis
  • vector databases

Jobright is a next-generation AI job search platform designed to make career navigation faster, smarter, and more human. They are hiring an AI Engineer to help design, build, and scale the intelligent agents at the core of the product - owning the full journey from proof-of-concept to production deployment.

Why Join Us

  • Ship production AI agents that solve real problems for real users
  • Significant autonomy and direct impact on product direction
  • Work at the crossroads of cutting-edge AI research and consumer product
  • Play a defining role in shaping the future of AI-driven career guidance

Responsibilities

  • Design and iterate on autonomous AI agents capable of navigating complex, multi-step environments to deliver meaningful user outcomes
  • Architect and optimize prompt engineering pipelines and multi-agent coordination systems that power core product features
  • Integrate LLMs into the Jobright platform with a focus on response quality, latency, and reliability at scale
  • Partner closely with product and engineering to turn user requirements into robust, AI-driven features
  • Build and maintain RAG systems and contribute to model fine-tuning efforts that improve agent accuracy and contextual relevance

Qualifications

Required

  • Recent grad or early-career engineer (0–2 years) with a degree in Computer Science, AI, or a related technical discipline
  • Solid command of Python and hands-on experience with LLM APIs - OpenAI, Anthropic, or open-source alternatives via Hugging Face
  • Working knowledge of agentic architectures, prompt chaining, and the evolving generative AI landscape
  • Strong software engineering fundamentals: RESTful APIs, async programming, and Git-based workflows
  • Must be based in and authorized to work in the United States

Preferred

  • Internship or project experience building AI applications, chatbots, or agent-based systems
  • Exposure to agent frameworks such as LangChain, CrewAI, or similar orchestration tools
  • Experience with vector databases and semantic search pipelines
  • Familiarity with front-end or full-stack development to help close the loop between AI logic and the user interface
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