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<p>Junior AI Engineer</p><p>Location: Austin, TX (Onsite)</p><p>Employment Type: W2 Only</p><p>Interview Process</p><p>In-Person Interview Required</p><p><br></p><p><br>Job Summar</p><p>yWe are seeking a motivated<strong> Junior AI Enginee</strong>r to join our team in Austin, TX. The ideal candidate will have experience in<strong> Python, Java, MongoDB, Large Language Models (LLMs), and Agentic A</strong>I. This role offers the opportunity to work on innovative AI solutions, intelligent agent systems, and enterprise AI applications</p><p><br></p><p>.<br>The candidate must possess strong problem-solving skills and be comfortable working in a collaborative, fast-paced environmen</p><p><br></p><p>t.<br>Required Ski</p><ul><li>lls1–3 years of experience in Software Development, AI Engineering, or a related fie</li><li>ld.Strong programming skills <strong>in Pyt</strong>hon a<strong>nd J</strong>a</li><li>va.Experience working wi<strong>th Mong</strong>o</li><li>DB.Knowledge <strong>of Large Language Models (LL</strong>Ms) and prompt engineeri</li><li>ng.Experience wi<strong>th Agentic</strong> AI, AI Agents, Multi-Agent Systems, or AI Automation framewor</li><li>ks.Strong analytical and problem-solving skil</li><li>ls.Experience with REST APIs and software development best practic</li><li>es.Familiarity with Git/GitH</li></ul><p>ub.Responsibilit</p><ul><li>iesDevelop and maintain AI-powered applications and intelligent agent solutio</li><li>ns.Build and enhance LLM-based applications and Agentic AI workflo</li><li>ws.Integrate AI solutions with databases, APIs, and enterprise syste</li><li>ms.Collaborate with engineering and product teams to design scalable AI solutio</li><li>ns.Troubleshoot, optimize, and improve application performan</li><li>ce.Participate in code reviews and technical discussio</li><li>ns.Stay updated with emerging AI technologies and best practic</li></ul><p>es.Preferred Qualificati</p><ul><li>onsExperience with LangChain, LangGraph, CrewAI, AutoGen, OpenAI, or similar AI framewor</li><li>ks.Knowledge of RAG (Retrieval-Augmented Generation) and Vector Databas</li><li>es.Exposure to cloud platforms such as AWS, Azure, or G</li><li>CP.Understanding of machine learning concepts and AI model deployme</li></ul><p>nt.Educat</p><ul><li>ionBachelor's degree in Computer Science, Artificial Intelligence, Information Technology, or a related fie</li></ul><p><br></p><p>ld.<br>Additional Requirem</p><ul><li><strong>entsW2 candidates o</strong></li><li>nly.Must be able to attend<strong> an in-person interview in Austin,</strong></li><li> TX.Strong communication and problem-solving skills are requi</li></ul><p><br></p>red.
