> Markdown version of [/jobs/ext/3870059-senior-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3870059-senior-ai-ml-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). --- # Senior AI/ML Engineer - **Company:** Innova Solutions - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $124,800.0 - $135,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Retrieval, Machine Learning, NoSQL, Software Engineering, SQL Databases, Unstructured Data, Large Language Models, Generative AI, Agentic-AI, Containerization, Information Technology, Machine Learning Operations, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.disabledperson.com/jobs/76143432-senior-ai-ml-engineer ## About the Role The ideal candidate will have: 8+ years of AI/ML engineering experience with at least 4+ years focused on Artificial Intelligence, Machine Learning, and Generative AI solutions., * Master's degree in computer science, Statistics, Mathematics, Machine Learning, or a related field (or equivalent practical experience). * 7+ years of software development experience. * 4+ years of hands-on experience building and deploying AI/ML solutions. * Strong experience building production-grade LLM or Agentic AI applications. Preferred Skills & Qualifications * Experience developing pricing, revenue management, demand forecasting, or elasticity models. ## Description * Design, develop, and deploy LLM-powered and agentic AI applications in production environments. * Build and optimize Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and information retrieval techniques. * Develop, train, evaluate, monitor, and maintain machine learning models throughout the model lifecycle. * Establish AI governance practices including guardrails, tracing, model evaluations, monitoring, and retraining strategies. Day to Day Responsibilities: * Implement scalable AI and ML solutions using cloud-native technologies and containerized environments. * Utilize Databricks, SageMaker, MLflow, and related MLOps tools for model development and lifecycle management. * Design and manage structured and unstructured data architectures using SQL and NoSQL technologies. * Collaborate with product owners, data scientists, engineers, and business stakeholders to deliver innovative AI solutions.