
At Built In we are building the largest platform for tech professionals globally. Each month millions of people use our platform to learn, grow their skills and advance their careers.Our mission is to empower humans to build the future. Join us in this endeavor.Built In. United We Tech
201 - 500 employees
💰 $22M Series C on 2019-07
July 30

At Built In we are building the largest platform for tech professionals globally. Each month millions of people use our platform to learn, grow their skills and advance their careers.Our mission is to empower humans to build the future. Join us in this endeavor.Built In. United We Tech
201 - 500 employees
💰 $22M Series C on 2019-07
• We're seeking an experienced Applied AI Engineer to design and develop intelligent, agentic systems that take action on behalf of users. • You’ll work at the intersection of AI automation and user experience—building conversational UIs and AI-driven workflows that solve real-world problems with minimal user input. • This is an ideal role for someone who’s passionate about Large Language Models (LLMs), intelligent agents, and the future of user interaction. • You’ll have the opportunity to shape how AI behaves autonomously within product ecosystems.
• 4+ years in a Data Science, Machine Learning, or Applied AI role • Deep experience with Python, LLM APIs, and libraries like transformers, langchain, OpenAI, etc. • Experience building chatbots or conversational UIs, and strong understanding of natural language processing • Solid grasp of SQL, APIs, and structured/semi-structured data • Familiarity with vector databases, tool use orchestration, and agent memory design • Excellent collaboration and communication skills, especially in cross-functional teams • Bonus: experience in reinforcement learning, retrieval-augmented generation (RAG), or AI monitoring systems.
• Help shape intelligent systems that act autonomously in real-world environments. • Be part of a product-led, engineering-driven culture. • Remote-first team with collaborative, flexible work structure. • Opportunities for leadership and technical ownership in AI development.
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