Generative AI Engineer with Strong Python Development Skills

Oracle PL/SQL Developer Cleveland, OH Fulltime Job Description : • We are seeking a highly skilled Generative AI Engineer with strong expertise in Python, AWS Bedrock, Generative AI, and Large Language Models (LLMs). • The ideal candidate will design, develop, and deploy AI-powered solutions, leveraging AWS Bedrock and state-of-the-art LLMs to solve real-world business problems. Key Responsibilities: • Design, build, and optimize Generative AI applications using AWS Bedrock and other cloud-native services. • Develop, fine-tune, and deploy Large Language Models (LLMs) for various use cases (e.g., chatbots, summarization, knowledge assistants, code generation). • Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases and external knowledge sources. • Write high-performance Python code for AI/ML workflows, model integration, and API services. • Work with cross-functional teams (data engineers, product managers, researchers) to deliver end-to-end AI solutions. • Ensure scalability, reliability, and cost-efficiency of deployed AI/ML systems in production. • Stay updated with the latest trends in LLMs, Generative AI frameworks, and cloud-based AI services. Required Skills & Experience Must-have: • Strong programming skills in Python (data structures, APIs, ML libraries such as PyTorch/TensorFlow, Hugging Face, LangChain). • Hands-on experience with AWS Bedrock (deploying and integrating foundation models such as Amazon Titan, Claude, or Stability AI). • Proven expertise in Generative AI (text, image, or multimodal solutions). • Practical experience with LLMs (GPT, Claude, LLaMA, Falcon, Mistral, etc.), including fine-tuning and prompt engineering. Nice-to-have: • Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma). • Knowledge of RAG pipelines and orchestration frameworks (LangChain, LlamaIndex). • Familiarity with cloud-native services (AWS Lambda, S3, SageMaker, API Gateway). • Experience in MLOps practices (CI/CD for ML, model monitoring, evaluation). Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. • 8+ years of experience in software development / AI engineering, with at least 4+ years focused on Generative AI / LLMs.