{"id":14142,"date":"2026-01-28T15:09:47","date_gmt":"2026-01-28T15:09:47","guid":{"rendered":"https:\/\/www.monmouth.edu\/career-development\/job\/generative-ai-engineer\/"},"modified":"2026-01-28T15:09:47","modified_gmt":"2026-01-28T15:09:47","slug":"generative-ai-engineer","status":"publish","type":"ch_job","link":"https:\/\/www.monmouth.edu\/career-development\/job\/generative-ai-engineer\/","title":{"rendered":"Generative AI Engineer"},"content":{"rendered":"<p><strong>Responsibilities<\/strong><\/p>\n<ul>\n<li>Develop, deploy, and maintain LLM-powered applications supporting natural language understanding, conversational search, and intelligent automation.<\/li>\n<li>Build and optimize RAG pipelines, including embeddings, chunking strategies, retrieval logic, ranking, evaluation, and continuous improvement loops.<\/li>\n<li>Design and implement agent-based workflows for reasoning, tool usage, routing, and structured task execution.<\/li>\n<li>Apply advanced prompt engineering techniques\u2014including chain prompting, few-shot prompting, and structured prompting\u2014to improve LLM reliability and output quality.<\/li>\n<li>Architect and implement high-performance applications and scalable backend systems that incorporate AI capabilities into diverse solutions.<\/li>\n<li>Build full-stack features using React (or similar), Node.js\/Python, REST\/GraphQL APIs, and modern backend patterns.<\/li>\n<li>Deploy and operate AI applications in cloud environments (AWS, Azure, GCP) using Docker, Kubernetes, and CI\/CD tooling.<\/li>\n<li>Ensure system-level reliability with robust monitoring, observability, telemetry, and performance metrics for LLM workloads.<\/li>\n<li>Partner with product managers, business teams, and engineers to align AI initiatives with business priorities and user needs.<\/li>\n<li>Translate technical concepts through clear presentations, design reviews, and documentation, ensuring shared understanding across teams.<\/li>\n<li>Participate in scoping, requirements definition, and architectural discussions, influencing design decisions and system roadmaps.<\/li>\n<li>Implement evaluation frameworks for RAG, agents, and LLM responses (latency, retrieval accuracy, hallucination detection, etc.).<\/li>\n<li>Continuously refine data quality, retrieval accuracy, indexing strategies, and model selection processes.<\/li>\n<li>Drive process improvements across the AI development lifecycle to enhance system robustness and engineering productivity.<\/li>\n<li>Diagnose and resolve issues across retrieval layers, LLM integration, application logic, and infrastructure.<br \/>\u00a0<\/li>\n<\/ul>\n<p><strong>Core Qualifications<\/strong><\/p>\n<ul>\n<li>Experience building scalable, cloud-native applications.<\/li>\n<li>Experience designing and deploying Generative AI applications or LLM-powered systems.<\/li>\n<li>Practical experience with Open AI GPT, Azure Open AI, AWS Bedrock, Gemini, Vertex AI, or similar LLM ecosystems.<\/li>\n<li>Strong background in designing and optimizing RAG architectures and retrieval workflows.<\/li>\n<li>Experience with at least one orchestration or agent framework, such as:<\/li>\n<li>Experience with vector databases, such as Pinecone, Weaviate, FAISS, Milvus, or similar technologies.<\/li>\n<li>Experience implementing and evaluating embedding models and retrieval pipelines (dense, hybrid, cross-encoder).<\/li>\n<li>Proficiency with prompt engineering, including chain prompting, iterative refinement, and structured output patterns.<\/li>\n<li>Strong frontend development and backend experience with Node.js\/Python, REST APIs, SQL\/NoSQL databases.<\/li>\n<li>Deployment experience with Docker, Kubernetes, and CI\/CD pipelines across AWS, Azure, or GCP.<\/li>\n<\/ul>\n","protected":false},"featured_media":0,"template":"","meta":{"_ch_employer_id":"13994","_ch_external_id":"10689601","_ch_location_state":"","_ch_location_city":"","_ch_is_ocr_job":"","_ch_expiration_date":"2026-05-29","_ch_apply_link":"https:\/\/monmouth.joinhandshake.com\/jobs\/10689601\/share_preview"},"ch_stakeholder":[],"ch_class_year":[],"ch_job_category":[],"ch_career_skill":[],"ch_industry":[],"class_list":["post-14142","ch_job","type-ch_job","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job\/14142","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job"}],"about":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/types\/ch_job"}],"wp:attachment":[{"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/media?parent=14142"}],"wp:term":[{"taxonomy":"ch_stakeholder","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_stakeholder?post=14142"},{"taxonomy":"ch_class_year","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_class_year?post=14142"},{"taxonomy":"ch_job_category","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_job_category?post=14142"},{"taxonomy":"ch_career_skill","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_career_skill?post=14142"},{"taxonomy":"ch_industry","embeddable":true,"href":"https:\/\/www.monmouth.edu\/career-development\/wp-json\/wp\/v2\/ch_industry?post=14142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}