AI Engineer

Join an innovative team as an AI Engineer, where you’ll build production-ready agentic AI solutions in a greenfield AWS environment. Collaborate directly with business teams (Legal, Finance, Supply Chain, CRM, Merchandising) to identify high-value AI opportunities and design solutions that transform enterprise workflows. This is a hands-on IC role focused on data engineering, agentic AI, and end-to-end development-ideal for those eager to drive impactful change in a high-growth, collaborative workplace., Partner with operational teams to map workflows, analyze data, and identify opportunities for agentic AI transformation.

• Design, prototype, and implement AI agents and multi-step workflows using Claude and other LLMs.
• Enable agents to retrieve, reason over, and act on enterprise data across multiple business systems.
• Build robust data integrations and pipelines supporting AI-driven use cases.
• Develop, deploy, and integrate solutions within AWS, connecting with enterprise applications, APIs, and diverse data sources.
• Rapidly iterate prototypes and transition successful projects into production environments.
• Establish monitoring, guardrails, and continuous improvement processes for deployed AI agents.

5-10 years of engineering experience, primarily in data engineering, data platforms, or data-intensive applications.

• Proficient with Python, AWS, enterprise data integration, data pipelines, and APIs.
• Demonstrated experience in building LLM-powered applications, AI agents, or agentic workflows.
• Familiar with RAG, embeddings, vector databases, structured and unstructured data, and enterprise retrieval methods.
• Experience with Claude (preferred) or other LLMs.
• Strong grasp of tool/function calling, multi-step agent workflows, and orchestration.
• Proven ability to understand business workflows and deliver production-quality solutions from discovery to deployment.

Preferred Skills

• Building agents for enterprise data reasoning and business systems automation.
• Data engineering, analytics engineering, or data platform development background.
• Supporting workflows in Legal, Finance, Supply Chain, CRM, Merchandising, Retail, or E-commerce.
• Experience developing new AI capabilities in greenfield environments.

Opportunity to shape AI solutions from the ground up in a greenfield AWS setting.

• Work directly with cross-functional business teams on high-impact projects.
• Accelerated professional growth and hands-on experience with cutting-edge AI technologies.
• Collaborative, fast-paced, and innovation-driven work environment in Beverly Hills.