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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Engineer - **Company:** ClifyX, INC - **Location:** Wilmington, NC, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Batch Processing, Program Optimization, Cyber Security, Continuous Delivery, Continuous Integration, Extract Transform Load (ETL), Data Security, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Scrum Methodology, Systems Development Life Cycle, Tensorflow, Privacy Controls, Scripting, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, AI Platforms, Low Latency, Deployment Automation, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines, Microservices - **Published:** August 1, 2026 - **Apply:** https://www.careerbuilder.com/job-details/genai-engineer-wilmington-de--dab84ec0-2c17-400e-a963-c1f4cd86625e ## About the Role Languages: Python AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning Frameworks: TensorFlow, PyTorch GenAI Tools: LangChain, LlamaIndex Vector DB: Pinecone, FAISS Cloud Technologies: AWS / Azure / GCP Data Pipelines: ETL/ELT, Real-time & Batch Processing Integration: APIs, Microservices Concepts: RAG Architecture, XAI, Model Optimization Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment) Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management Soft Skills: Strong communication, stakeholder management, and analytical thinking Skills: Access Control, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Banking Regulations, Banking Services, Best Practices, Communication Skills, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Control, Data Management, Financial Compliance, Identify Issues, Information/Data Security (InfoSec), Maintain Compliance, Mentoring, Microservices, Performance Analysis, Performance Modeling, Privacy Controls, Python Programming/Scripting Language, Regulatory Compliance, Risk, Risk Management, Risk Modeling, Scalable System Development, Systems Scalability, Use Cases ## Description Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics. * Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation * Implement RAG-based GenAI applications using internal banking data * Develop scalable data pipelines for training, validation, and real-time inference * Collaborate with risk, compliance, finance, and business teams for AI solutions * Ensure regulatory compliance and AI governance standards * Implement data security, privacy, and access control mechanisms * Integrate AI models into production using APIs and microservices * Apply prompt engineering and model optimization techniques * Monitor model performance, drift detection, and continuous improvement * Develop explainable AI (XAI) for transparent decision-making * Optimize cost, latency, and scalability of AI systems * Troubleshoot AI/ML system issues across data and deployment layers * Write efficient Python code using AI frameworks * Follow MLOps best practices (CI/CD, automated deployment) * Ensure responsible AI practices (bias, fairness, ethics) * Mentor teams and contribute to enterprise AI platforms. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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