AI Engineer, Entry Level
Jobright.ai · United States
- Hybrid
- Full-time
- $85,000 / year
- United States
Job highlights
- Build and scale AI agents for business users.
- Integrate Large Language Models into applications.
- Develop prompt engineering and orchestration frameworks.
- Implement RAG systems and fine-tune models.
- Entry-level role with significant impact and ownership.
About the role
AI Engineer - Entry Level
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
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 Engineering
- Large Language Models (LLMs)
- Python
- Prompt Engineering
- Agentic Workflows
- Generative AI
- Retrieval-Augmented Generation (RAG)
- Software Engineering
- APIs
- Git
Skills & topics
- AI Engineer
- Entry Level
- Python
- LLM
- Generative AI
- Prompt Engineering
- Agentic Workflows
- RAG
- Software Engineering
- Artificial Intelligence
How to get hired
- Tailor your resume: Highlight Python, LLM API, and agentic workflow experience.
- Showcase projects: Include AI applications, chatbots, or autonomous agent work.
- Prepare for technical interviews: Review Python, APIs, Git, and AI concepts.
- Demonstrate understanding: Be ready to discuss prompt engineering and RAG systems.
- Express enthusiasm: Convey passion for AI and its application in job search.
Technical preparation
Master Python and LLM API integrations.,Practice prompt engineering and chaining techniques.,Build projects using agent frameworks.,Understand RAG and vector database concepts.
Behavioral questions
Describe a challenging AI project you completed.,How do you stay updated on AI trends?,How would you approach integrating LLMs?,Explain your problem-solving process for AI.
Frequently asked questions
- What are the primary responsibilities of an AI Engineer at Jobright.ai?
- As an AI Engineer at Jobright.ai, you will build and refine autonomous AI agents, develop prompt engineering workflows, integrate LLMs into the application, and implement RAG systems. The role focuses on managing the lifecycle of business-facing AI agents from prototype to production.
- What qualifications are essential for the Entry Level AI Engineer role at Jobright.ai?
- Essential qualifications include a degree in Computer Science or a related field, strong Python proficiency, experience with LLM APIs (like OpenAI, Anthropic, Hugging Face), understanding of agentic workflows and generative AI trends, and solid software engineering foundations including Git. You must also be authorized to work in the United States.
- What kind of projects are preferred for an AI Engineer at Jobright.ai?
- Preferred experience includes internships or personal projects involving AI-powered applications, chatbots, or autonomous agents. Familiarity with agent frameworks like LangChain or AutoGPT, and experience with vector databases are also highly valued.
- Is this AI Engineer position remote or on-site at Jobright.ai?
- The job description states candidates must live in and be authorized to work in the United States, but does not explicitly mention remote or on-site. Given the nature of AI work and startups, it's likely to be hybrid or remote within the US, but clarification on the exact work arrangement is recommended.
- What are the advantages of joining Jobright.ai as an AI Engineer?
- Joining Jobright.ai offers the chance to build impactful, production-ready AI agents, gain high ownership, and work at the forefront of AI, agents, and product development in the job search industry.
- What technical skills are most important for an AI Engineer applicant at Jobright.ai?
- Key technical skills include Python programming, experience with Large Language Model (LLM) APIs, understanding of prompt engineering techniques, knowledge of agentic workflows, and solid software engineering practices like Git and asynchronous programming.
- Does Jobright.ai require prior internship experience for this AI Engineer role?
- While not strictly required, previous internship or personal project experience building AI-powered applications, chatbots, or autonomous agents is preferred and can significantly strengthen an application for the Entry Level AI Engineer position.
- What is the typical career progression for an AI Engineer at Jobright.ai?
- As an entry-level AI Engineer, progression would likely involve taking on more complex agent development, leading feature implementation, and potentially specializing in areas like prompt engineering, RAG optimization, or multi-agent systems as the company grows.