Senior AI Engineer

We are seeking an innovative Senior AI Engineer responsible for designing, developing, and deploying AI/ML solutions that solve business problems, predict outcomes, identify inefficiencies, and enable data-driven decision-making. This role leverages advanced modeling, machine learning pipelines, generative AI, and automation to deliver scalable, enterprise-ready AI capabilities.

Responsibilities

Collaborate with cross-functional teams, including data architects, engineers, and business stakeholders, to understand requirements for AI/ML use cases; Develop, train, evaluate, and optimize AI/ML models using structured and unstructured data; Analyze data and model outputs to identify patterns, trends, and anomalies that inform feature engineering, model improvements, and system optimization; Leverage AI/ML platforms to build predictive models and automate business processes; Design and implement generative AI applications powered by Large Language Models (LLMs), using techniques such as retrieval-augmented generation (RAG), embeddings, prompt orchestration, and evaluation frameworks; Partner with Data Engineering, Analytics, and IT teams to integrate models into production systems; Ensure the robustness, scalability, performance, and security of AI/ML models in production environments; Monitor, evaluate, and continuously improve AI/ML and LLM-based solutions in production, including model performance, output quality, reliability, and cost efficiency; Ensure adherence to AI governance, model documentation, and responsible-AI practices; Stay up-to-date with the latest advancements in AI/ML research and industry trends

Requirements

4-6 years proven experience in data engineering or data science field; 4-6 years as an AI/ML engineer, similar role, or equivalent practical experience, with a strong portfolio of successful projects (including ML, NLP, generative AI, and operationalization in production); Four-year college degree or equivalent experience in Computer Science, Mathematics, Data Science, or relevant discipline; Proficiency in Python, SQL, and AI/ML frameworks and development platforms (e.g., PyTorch, TensorFlow, Azure OpenAI, Azure Machine learning studio); Strong understanding of data structures, data pipelines, and MLOps practices; Working knowledge of generative AI techniques such as retrieval-augmented generation (RAG), embeddings and vector search, and context orchestration; Proficiency with cloud platforms (e.g. Azure, AWS); Experience developing and consuming APIs to integrate AI/ML models into applications

Nice to have

Master's Degree in Data Science (Preferred)

Benefits

competitive compensation; comprehensive benefits package including health and dental insurance; 401k retirement savings with company match; flex spending account; paid personal time off; paid company holidays; parental leave; employee eyewear discount; training programs; access to educational courses; opportunities for professional growth and long-term career fulfillment