Entry-Level AI Engineer, Intelligent Systems

Jobright Ai — United States · Posted ~2 hours ago

Junior

Skills

LLMs AI agents Tool calling APIs Structured data Multi-step workflows Retrieval Memory systems Evaluation and monitoring AI reliability AI safety Latency optimization Cost optimization

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Summary ✨ AI‑Generated

Build intelligent systems that combine language models, tools, APIs, workflows, and structured data. You will develop multi-step AI agents, implement retrieval and memory, create evaluation and monitoring capabilities, and improve reliability, safety, latency, and cost in production systems.

Highlights

Entry-level opportunity to build production AI agents used by real users, with high ownership and exposure to AI agents, product development, and intelligent decision-support systems.

Description

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. The Entry-Level AI Engineer will build intelligent systems that combine models, tools, workflows, and product data to develop reliable AI agents and decision-support capabilities for the job search experience. 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 AI systems that combine LLMs, tools, APIs, and structured data • Design multi-step workflows for search, research, and personalization • Implement tool calling, retrieval, memory, and decision logic • Create evaluation and monitoring systems • Improve system reliability, safety, latency, and cost • Collaborate with product, engineering, and data teams Qualification Required • Bachelor's or master's degree in Computer Science, AI, Engineering, or a related field • Strong Python or TypeScript programming skills • Understanding of AI, machine learning, or NLP fundamentals • Familiarity with APIs, backend systems, and debugging • Ability to work effectively in a remote environment Preferred • Experience building AI agents or tool-using LLM applications • Familiarity with RAG, embeddings, workflow orchestration, or evaluation • Experience with cloud platforms or production AI systems • Interest in human-AI interaction and intelligent product design