AI Engineer, Entry Level
Jobright.ai · United States
- Hybrid
- Full-time
- $90,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Build and refine production AI agents.
- Integrate LLMs into the Jobright application.
- Optimize prompt engineering and agent orchestration.
- Implement RAG systems and fine-tune models.
- Work at the intersection of product and engineering.
About the role
About Jobright.ai
Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. We 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
Qualifications
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
Key skills/competency
- AI Engineer
- Autonomous AI Agents
- Prompt Engineering
- Large Language Models (LLMs)
- Python
- Retrieval-Augmented Generation (RAG)
- Agentic Workflows
- API Integration
- Software Engineering
- Generative AI
Skills & topics
- AI Engineer
- Artificial Intelligence
- Machine Learning
- Python
- LLM
- Generative AI
- RAG
- Agentic AI
- Prompt Engineering
- Software Engineering
- Entry Level
- Computer Science
How to get hired
- Tailor your resume: Highlight Python, LLM API experience, and AI project work.
- Showcase AI projects: Detail your contributions to AI-powered applications or agents.
- Prepare for technical questions: Brush up on Python, LLMs, RAG, and agent frameworks.
- Understand the company: Research Jobright.ai's mission and AI-driven approach.
- Ask insightful questions: Inquire about agent development and product impact.
Technical preparation
Master Python and LLM API interactions.,Build personal projects with agent frameworks.,Implement RAG and fine-tune models.,Understand asynchronous programming and Git.
Behavioral questions
Describe a complex AI problem you solved.,How do you stay updated on AI trends?,Explain your approach to prompt engineering.,How would you integrate AI into a user interface?
Frequently asked questions
- What is the entry-level experience requirement for the AI Engineer role at Jobright.ai?
- Jobright.ai is seeking recent graduates or entry-level professionals with 0-2 years of experience for their AI Engineer position. A degree in Computer Science, AI, or a related technical field is required.
- What programming languages and technologies are essential for the AI Engineer role at Jobright.ai?
- Strong proficiency in Python is essential. Experience with LLM APIs (like OpenAI, Anthropic, or Hugging Face) and a solid understanding of agentic workflows, prompt chaining, and generative AI trends are also crucial.
- Does Jobright.ai prefer candidates with experience in specific AI agent frameworks for their AI Engineer position?
- While not strictly required, Jobright.ai prefers candidates familiar with agent frameworks such as LangChain, AutoGPT, or CrewAI. This familiarity can be gained through internships or personal projects.
- What kind of projects should I highlight on my resume for the AI Engineer role at Jobright.ai?
- For the AI Engineer role at Jobright.ai, highlight any projects where you built AI-powered applications, chatbots, or autonomous agents. Experience with LLMs, RAG systems, or prompt engineering is highly valued.
- What are the essential software engineering foundations for this AI Engineer position at Jobright.ai?
- Solid software engineering foundations are a must for this AI Engineer role at Jobright.ai. This includes a strong grasp of APIs, asynchronous programming, and version control systems like Git.
- Is there a location requirement for the AI Engineer role at Jobright.ai?
- Yes, candidates for the AI Engineer position must live in and be authorized to work in the United States.
- How does Jobright.ai use AI in its job search agent?
- Jobright.ai utilizes AI to build and scale business-facing AI agents that manage the entire job search lifecycle. They focus on creating autonomous agents that interact with complex environments and enhance product capabilities through LLM integration and RAG systems.
- What are the opportunities for impact and ownership in the AI Engineer role at Jobright.ai?
- The AI Engineer role at Jobright.ai offers high ownership and impact, allowing you to build real, production AI agents used by actual users and shape the user experience of AI-driven job search.