AI Engineer
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
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.