Gen AI Engineer

Math Co® (The Math Company ) is a global Enterprise AI and Analytics company trusted by Fortune 500 and Global 2000 enterprises for data-driven decision-making. Since 2016, we’ve been redefining how businesses solve problems - through bespoke AI and analytics solutions, scalable assets, and our proprietary platform, NucliOS. Our hybrid operating model and deep vertical expertise allow us to solve enterprise-scale challenges efficiently, with faster time to value and a lower TCO.

At Math Co, we believe in transparency, ownership, and inclusivity - providing a dynamic environment for exceptional talent to Leave a Mark.

We are seeking Generative AI Engineers to join dedicated client teams supporting leading Fashion Retail and B2C Retail organizations across enterprise AI transformation initiatives.

This role focuses on designing and building production-grade GenAI applications, agentic workflows, retrieval-augmented generation (RAG) systems, and AI-powered enterprise solutions embedded directly within client environments. You’ll partner closely with business stakeholders, engineers, data scientists, and consulting teams to solve real-world retail challenges across merchandising, customer experience, retail operations, digital commerce, and supply chain functions.

As a GenAI Engineer at Math Co, you will work hands-on with modern LLM ecosystems, cloud-native AI tooling, and scalable enterprise architectures to deliver measurable business impact.

Current openings are available in Dallas, San Francisco, and New Jersey
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As a GenAI Engineer, you will:

• Design and build enterprise-grade Generative AI applications using modern AI frameworks and cloud-native tooling.
• Develop agentic workflows and multi-step AI orchestration systems using frameworks such as Lang Chain and Lang Graph.
• Build retrieval-augmented generation (RAG) architectures and semantic search systems leveraging vector search capabilities.
• Integrate large language models into enterprise applications and retail business workflows.
• Develop AI-powered experiences supporting merchandising, customer engagement, retail operations, and digital commerce use cases.
• Collaborate directly with embedded client teams to translate business problems into scalable AI solutions.
• Contribute to scalable reusable frameworks, accelerators, and enterprise AI best practices.

• Develop Generative AI solutions using Python and modern AI orchestration frameworks.
• Build and maintain agentic AI workflows using Lang Chain and Lang Graph.
• Develop APIs and enterprise applications using FastAPI, Streamlit, and React.
• Implement semantic retrieval and vector search systems to support enterprise knowledge discovery and AI copilots.
• Design and optimize session management and conversational memory workflows for enterprise AI applications.
• Work extensively within the Google Cloud Platform ecosystem, including Vertex AI, Big Query, and Agent Compute.
• Integrate foundational LLMs such as Gemini Enterprise, OpenAI, and similar models into enterprise systems.
• Develop and maintain scalable cloud-native AI pipelines and deployment workflows using Github Actions and modern CI/CD practices.
• Monitor model performance and identify issues such as hallucinations, latency, reliability concerns, or model drift.
• Collaborate cross-functionally to ensure solutions align with client business objectives and enterprise technical standards.

• 5+ years of experience in AI/ML engineering, software engineering, or data science.
• Hands-on experience building and deploying Generative AI applications in production environments.
• Strong proficiency in Python and modern AI orchestration frameworks.
• Experience building agentic workflows, semantic retrieval systems, and…