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# AI Engineer

- **Company:** Indotronix Avani Group
- **Location:** Beverly Hills, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Systems, Information Engineering, Data Infrastructure, Enterprise Data Management, Large Language Models, Claude, Invoking Functions
- **Published:** November 6, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/cE5NcA1nAE4k1ovAERdnx_WDyf_AU7Q1UC79g2wjCFE

## About the Role

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.

## Description

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.