AI Engineer

Jobright.ai
United StatesFull-timePosted Sep 13, 2026

About the role

Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.

Why Join Us

Build real, production AI agents used by real users

High ownership and impact

Work at the intersection of AI, agents, and product

Shape how people experience AI-driven job search

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

Qualification

Required

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

Preferred

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

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

Qualifications

  • 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

Skills mentioned

PythonGitGenerative AILarge Language ModelsAI AgentsPrompt EngineeringRetrieval-Augmented GenerationFine-TuningLangChainEmbeddings

About Jobright.ai

Every hire is two searches - a person looking for the right role, and a company looking for the right person. For two years, Jobright worked only the first one. 2 million professionals now use our AI agent to find roles, sharpen how they show up, and get in front of the people hiring. Earlier this year, we started working the second. Employers can now put Jobright on a role. Our AI recruiter sources from the professionals who already trust us, verifies every candidate is real, and reaches out under a name candidates recognize, which is why they reply. What reaches the hiring team is a list of people worth interviewing, within 24 hours. All they do is interview. Two searches. One platform. Agents on both sides that keep working until both sides say yes.

Software Development11-50 employeesSanta Clara, California