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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** dentsu View all jobs - **Location:** Chicago, IL, United States - **Salary:** $70,000.0 - $80,000.0 - **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.careerjet.com/job/us07fb01b09a3b1a9436d5eaec92cbef11/eaa ## About the Role * 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 As an AI Engineer, you will design, build, and deploy artificial intelligence capabilities that drive business value and enhance our global products. You will work cross-functionally with product managers, data scientists, engineers, and stakeholders to deliver scalable AI systems for content personalization, audience analytics, creative optimization, and more., * 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., + $70,000-80,000 per year Preconstruction Engineer Are you passionate about construction planning, estimating, and helping win projects before the first shovel hits the ground? Coakley & Williams (CWC) ar… + 1 day ago ## Related Videos - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) - [JSON and Beyond](https://www.wearedevelopers.com/videos/968-json-and-beyond) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)