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AI Engineer

Jobright.ai

Remote (Global) Full-time Entry Level $100k – $150k/yr 3w ago

About the role

About Jobright

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. It was founded in 2023, and is headquartered in Santa Clara, California, USA, with a workforce of 2-10 employees. Its website is https://jobright.ai.

Responsibilities

  • Build and refine autonomous AI agents that interact with complex environments to solve real-world user problems
  • Develop and optimize sophisticated prompt engineering workflows and multi-agent orchestration frameworks to enhance product capabilities
  • Integrate Large Language Models (LLMs) into the Jobright application, ensuring high-quality, low-latency, and reliable AI responses
  • Work at the intersection of product and engineering to transform user requirements into functional AI-driven features
  • Implement Retrieval-Augmented Generation (RAG) systems and fine-tune models to improve the accuracy and context-awareness of our agents

Skills

  • Recent graduate or entry-level professional (0–2 years of experience) with a degree in Computer Science, AI, or a related technical field
  • Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
  • Practical understanding of agentic workflows, prompt chaining, and the latest trends in generative AI
  • Solid software engineering foundations, including a strong grasp of APIs, asynchronous programming, and version control (Git)
  • Must live in and be authorized to work in the United States
  • Previous internship or personal project experience building AI-powered applications, chatbots, or autonomous agents
  • Familiarity with agent frameworks such as LangChain, AutoGPT, or CrewAI
  • Experience with vector databases and semantic search implementation
  • Basic understanding of front-end or full-stack integration to help bridge the gap between AI logic and user interfaces

Skills

AWS LambdaAnthropicAutoGPTCrewAIDockerGitHugging FaceLangChainLLM APIsOpenAIPythonRAGRetrieval-Augmented GenerationVector databases

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