Job Title: Senior Gen AI Engineer Company Name: Wexus Win Works LLC Job Url: https://www.simplyhired.com/job/vPICPTFLOhNToGQeKXrmVwfnnzn28FtdTcLUq6tTedT0gxn5XKbpKA Job Description: Senior Gen AI Engineer Wexus Win Works LLC Remote Job Details Full-time $55,096.13 - $66,352.32 a year Qualifications Application Integration Authentication Azure Bachelor's degree in information technology Computer Science Software design Text-to-speech System design Information Systems Scalable systems Quality assurance within IT Prompt engineering Master's degree Databases Microservices AWS Analysis skills Solution architecture design Bachelor's degree Cloud development Mentoring Natural language processing Software documentation Cloud Native Design Developing data pipelines Scalability Open source contribution Metadata Business requirements Senior level AI Bachelor's degree in computer science Model evaluation Leadership 2 years Generative AI Linguistics Information Technology Full Job Description Education: Bachelor’s degree in information technology, Computer Science, Information Systems, or related field Master’s degree (Preferred) Certifications (Preferred) Azure AI Engineer Associate Azure Solutions Architect Certification Experience 5+ years of professional software engineering, ML engineering, or AI development experience 2+ years of Gen AI application development experience · Demonstrated expertise in designing enterprise-scale AI agent systems Experience architecting RAG solutions with complex retrieval strategies Experience with image analysis and visual reasoning models · Deep understanding of LLM evaluation, testing, and quality assurance Experience implementing responsible AI practices including safety, bias mitigation, and governance Strong system design and architecture skills Experience with cloud-native application development on Azure or AWS Ability to mentor junior engineers and provide technical leadership Preferred Experience with Microsoft Semantic Kernel or Azure AI Foundry · Experience in energy, utilities, or other regulated industries Familiarity with LangSmith, Weights & Biases, or similar LLM observability tools Experience implementing multi-agent systems or autonomous agents Knowledge of fine-tuning techniques (LoRA, PEFT) even if not performing fine-tuning Experience with speech-to-text and text-to-speech integration for voice-enabled agents Background in NLP, machine learning, or computational linguistics Experience with Azure Cognitive Search or Azure AI Search Contributions to open-source Gen AI projects or frameworks Roles & Responsibilities Define architecture patterns for AI agents including memory systems, context management, and workflow orchestration Architect and oversee implementation of advanced RAG solutions including hybrid retrieval strategies, semantic search, and vector database design Design document ingestion pipelines, metadata enrichment strategies, and secure retrieval mechanisms Ensure scalability, performance, and accuracy of AI-driven knowledge systems Establish prompt engineering standards, reusable templates, and optimization strategies Define evaluation frameworks to measure LLM performance, accuracy, safety, and reliability Implement guardrails, safety mechanisms, and protections against prompt injection and adversarial attacks Lead integration of Gen AI capabilities into enterprise systems, applications, and workflows Design APIs, microservices, and scalable cloud-native architectures for AI applications Ensure implementation of authentication, authorization, audit logging, and monitoring solutions Drive responsible AI governance including bias detection, fairness assessment, transparency, and compliance Define and implement data privacy controls, PII protection, and secure AI usage practices Develop governance frameworks, model documentation, and operational runbooks Provide technical leadership, mentorship, and guidance to engineering teams Collaborate with stakeholders to translate business requirements into scalable AI architectures Oversee development lifecycle ensuring adherence to best practices, performance standards, and security requirements Deliver architecture documentation, system designs, integration guides, and technical artifacts Support knowledge transfer and enable internal teams for ongoing AI solution management Job Type: Full-time Pay: $55,096.13 - $66,352.32 per year Work Location: Remote