Lumicity
Generative AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer on a contract basis, offering a competitive pay rate. The position requires a Master’s degree, strong Python skills, and experience with enterprise LLMs, cloud platforms, and AI system deployment.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 23, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Deployment #"ETL (Extract #Transform #Load)" #API (Application Programming Interface) #Azure #AI (Artificial Intelligence) #Libraries #Langchain #Computer Science #NLP (Natural Language Processing) #ML (Machine Learning) #Observability #FastAPI #Cloud #Python #Scala #Data Privacy #Compliance #Data Science #Data Analysis #GCP (Google Cloud Platform) #AWS (Amazon Web Services)
Role 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, performance challenges, and 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 highest-quality output from LLMs, e.g. prompt engineering, multi-agents, structured output validation, hybrid RAG, incontext 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
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, performance challenges, and 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 highest-quality output from LLMs, e.g. prompt engineering, multi-agents, structured output validation, hybrid RAG, incontext 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
