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# AI Engineer

- **Company:** Carat Usa, Inc.
- **Location:** Chicago, IL, United States
- **Salary:** $136,000.0 - $207,075.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Application Layers, Encodings, Python (Programming Language), Unstructured Data, Large Language Models, Prompt Engineering, Fastapi, Information Technology, Machine Learning Operations, Restful APIs
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ba2c47264765b599

## About the Role

Must Have

 * Masters Degree in Computer Science, Engineering, or related field (PhD a plus).
 * Strong Python skills (3+ years) with production systems, not just experimentation and prototyping
 * Demonstrated experience (1+ years) with enterprise LLMs - their APIs, performance challenges, and how to mitigate those (OpenAI, Anthropic, Cohere, etc.)
 * Demonstrated production experience (3+ years) with API conventions and integration into pipelines, e.g. RESTful API, FastAPI, or similar.
 * Demonstrated experience (2+ years) integrating multiple approaches for extracting highest-quality output from LLMs, e.g. prompt engineering, multi-agents, structured output validation, hybrid RAG, in-context learning (ICL), or NLP- or ontology-powered layering.
 * Demonstrated production experience (4+ years) measuring and improving AI systems or traditional ML systems., * Proficiency with traditional NLP and document processing pipelines (text extraction, chunking, embedding)
 * Strong foundation in data science fundamentals, including data analysis, statistical methods, and experience working with structured and unstructured data
 * Experience in LLM orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel), chain-of-thought, and structured reasoning approaches.
 * Experience with tracing (e.g. Arize, OpenTelemetry, LangSmith)
 * Experience with more complex AI systems at the application layer such as memory and advanced context management
 * Fine tuning and automated system optimization
 * Ability to work in a fast-paced environment with independence

## Description

* AI Solution Development: Architect, develop, and maintain AI systems for media products.
 * Collaboration: Partner with product, engineering, and data teams to translate business needs into technical solutions.
 * Deployment & Scaling: Implement AI systems in production environments, ensuring reliability, scalability, and performance across global markets.
 * Continuous Improvement: Monitor, evaluate, and iterate on AI models using real-world data and feedback.
 * Research & Innovation: Stay current with AI/ML advancements; prototype and recommend new technologies to keep our products at the forefront of innovation.
 * Ethics & Compliance: Champion responsible AI practices, ensuring fairness, transparency, and compliance with data privacy regulations.


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