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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Akkodis Akkodis

is seeking an

AI Data Engineer

for a

Direct-Hire

job with a client located in

Pleasant Ridge, MI (Remote). Pay Range:

$150,000 to $165,000

.

The salary may be negotiable based on experience, education, geographic location, and other factors. Job 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. Key Responsibilities 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 models 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. Requirements Master’s degree in Computer Science, Engineering, or related field (PhD a plus). Strong Python skills, with experience in LLM orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel), chain-of-thought, and structured reasoning approaches. Demonstrated experience with enterprise LLMs – their APIs and performance challenges, as well as how to mitigate those (OpenAI, Anthropic, Cohere, etc.) Demonstrated production experience with API conventions and integration into pipelines, e.g., RESTful API, FastAPI, or similar. Demonstrated experience integrating multiple approaches for extracting the 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. Proficiency with document processing pipelines (text extraction, chunking, embedding) Demonstrated production experience with measuring and improving AI systems, tracing, and AI observability (e.g., Arize, OpenTelemetry, LangSmith) Strong foundation in data science fundamentals, including data analysis, statistical methods, and experience working with structured and unstructured data Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools. If you are interested in this role, then please click

APPLY NOW.

For other opportunities available at

Akkodis

, or any questions, please contact

Anirudh Srivastava at 610-227-6773 or anirudh.srivastava@akkodisgroup.com. Equal Opportunity Employer/Veterans/Disabled Benefits offerings include but are not limited to: · 401(k) with match · Medical insurance To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

https://www.akkodis.com/en/privacy-policy. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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