> Markdown version of [/jobs/ext/3128331-ai-ml-generative-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3128331-ai-ml-generative-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML & Generative AI Engineer - **Company:** AIVANTA TECHNOLOGIES LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Scikit Learn, Information Technology - **Published:** September 28, 2026 - **Apply:** https://www.dice.com/job-detail/8e450d2f-82cd-41af-9c53-e2372aaf3e16 ## About the Role * Strong knowledge of AI, Machine Learning, and Deep Learning. * Hands-on experience with Generative AI and LLMs. * Strong Python programming skills. * Experience with TensorFlow, PyTorch, or Scikit-learn. * Knowledge of NLP, RAG, prompt engineering, and embeddings. * Experience with OpenAI or other LLM APIs. * Familiarity with Vector Databases such as Pinecone, FAISS, or Chroma. * Knowledge of AWS, Azure, or Google Cloud Platform is a plus., * Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. * Experience deploying AI solutions in production. * Strong analytical and problem-solving skills. ## Description We are looking for a skilled AI/ML & Generative AI Engineer to design, develop, and implement AI-powered solutions. The ideal candidate should have hands-on experience with machine learning, deep learning, Generative AI, and Large Language Models (LLMs)., * Develop and deploy AI/ML models for real-world applications. * Build and integrate Generative AI and LLM-based solutions. * Work with RAG (Retrieval-Augmented Generation), embeddings, and vector databases. * Develop AI applications using Python and relevant ML frameworks. * Fine-tune and evaluate machine learning and LLM models. * Integrate AI models with existing applications and APIs. * Optimize models for performance, accuracy, and scalability. * Collaborate with engineering and product teams to deliver AI solutions.