Gen AI Developer Wells Fargo at Value Technology

Job Title: Gen AI Developer Location: Alpharetta GA/NY/NJ (Day 1 Onsite) Job Summary Value Technology is seeking a highly skilled Generative AI Developer to design build and deploy AI-driven solutions using LLMs generative models and modern AI frameworks. The ideal candidate will have experience in building conversational agents retrieval-augmented generation (RAG) systems fine-tuning large language models and integrating AI capabilities into enterprise applications. Preferred Qualifications 10 years experience in AI/ML development. 5-7 years hands-on experience with LLMs or Gen AI. Bachelor s or Master s degree in Computer Science AI/ML Data Science or related fields. Develop fine-tune and deploy Large Language Models (LLMs) for various use cases such as chatbots document automation code generation and summarization. Build RAG pipelines using vector databases embeddings and retrieval frameworks. Implement prompt engineering and prompt-chaining for optimal model performance. Experience building production-grade AI systems. Experience with agent frameworks (LangGraph OpenAI Assistants API). Experience in multimodal AI (image speech video) is a plus. Understanding of security compliance and governance for AI models. Experience with Python Hugging Face LangChain. Experience designing and deploying RAG/LLM workflows. Strong understanding of embedding models and vector search. Experience developing enterprise-grade Gen AI products. Work closely with product managers data scientists ML engineers and software developers. Design end-to-end Gen AI system architecture including data pipelines vector search orchestration and model optimization. Integrate generative AI models with enterprise systems through APIs microservices and cloud services. Document models pipelines and solution architecture. Containerize and deploy models using Docker Kubernetes or serverless frameworks. Implement CI/CD pipelines for AI workflows. Monitor and improve AI model performance post-deployment. Prepare and manage datasets for LLM training embeddings and retrieval. Build pipelines for data ingestion cleaning transformation and annotation. Work with structured and unstructured data including documents PDFs chat logs code and multimedia. Key Skills CCTV,Computer Science,Corporate Marketing,E Learning,Arabic English Translation Employment Type : Full Time Experience: years Vacancy: 1