RHEI is a tech company founded in 2005 that builds AI solutions to amplify human creativity, scale audiences, and enhance impact. They pioneer personalized, effective, and intelligent AI solutions that enable creation, connection, and growth of digital fandoms, reaching a global audience of 600 million unique monthly viewers across 150 countries. RHEI collaborates with content creators, media companies, and brands to engage new fan communities and drive new revenue opportunities through AI-powered tools like Made, which offers AI creative direction, content production, and content transformation. They also provide solutions for audience expansion through creators, increased monetization (including RHEI Data Pro), 24/7 rights management with Rights Pro, intelligent insights, and audience-first channel management with Audience Pro. Their business model appears to be SaaS and services-based, focusing on empowering creators and media companies in the digital fandom space.
RHEI is a tech company founded in 2005 that builds AI solutions to amplify human creativity, scale audiences, and enhance impact. They pioneer personalized, effective, and intelligent AI solutions that enable creation, connection, and growth of digital fandoms, reaching a global audience of 600 million unique monthly viewers across 150 countries. RHEI collaborates with content creators, media companies, and brands to engage new fan communities and drive new revenue opportunities through AI-powered tools like Made, which offers AI creative direction, content production, and content transformation. They also provide solutions for audience expansion through creators, increased monetization (including RHEI Data Pro), 24/7 rights management with Rights Pro, intelligent insights, and audience-first channel management with Audience Pro. Their business model appears to be SaaS and services-based, focusing on empowering creators and media companies in the digital fandom space.
RHEI is a technology company advancing the industry by helping creators, media companies and brands find success through digital content. We are the largest multi-vertical video publisher in the world, reaching tens of billions of monthly views and over 600 million monthly uniques. We provide end-to-end solutions to help creators and media companies grow their audiences and revenue, while helping brands connect to hard-to-reach digital fans. Our platform, Made, leverages an AI agentic framework to maximize the capabilities of our customers and significantly increase their growth potential.
About the role
The AI Engineer is a vital part of the Made team, responsible for designing, developing, and implementing AI solutions that drive automation and provide intelligent insights. The role requires a deep understanding of LLMs, prompt engineering, RAG, API development and integration, with an eye toward scalability and innovation.
Key Responsibilities
Design, develop, and deploy AI-driven systems and services that leverage large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG) techniques.
Key Requirements
Plus Requirements
Experience with FastAPI.
Experience with automated tests in Python.
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Build scalable AI backend components using Python, ensuring seamless integration with internal APIs and external services.
Architect and implement multi-agent systems that coordinate LLM interactions for complex task execution.
Collaborate closely with backend and product teams to integrate intelligent features and automate workflows across Made’s platform.
Optimize LLM prompt performance, monitor prompt health, and iterate on prompt strategies using tools like LangChain, LangGraph, and LangSmith.
Fine-tune open-source or proprietary LLMs to improve relevance and contextual accuracy for domain-specific use cases.
Design and maintain efficient data retrieval pipelines for RAG-based systems, including indexing strategies and knowledge base integration.
Ensure robust observability, testing, and evaluation mechanisms are in place for AI agents and systems in production environments.
Write clean, maintainable, and modular code, contributing to a high standard of code quality through peer reviews and best practices.
Maintain up-to-date technical documentation for AI agents, services, and workflows.
Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field.
Minimum of 3 years of experience in AI development, preferably in a media technology setting.
Strong proficiency in Python for web development.
Experience with LangChain, LangGraph, LangSmith or similar tools.
Experience building multi-agents systems.
Experience with RAG and fine-tuning of LLMs.
Experience monitoring and evaluation LLM prompts health.
Minimum of 5 years of experience as a backend developer.
Solid understanding of horizontal scalability.
Ability to write performant, efficient, and bug-free code with a focus on clean design and maintainability.
Familiarity with cloud platforms and containerization (Docker, Kubernetes).
Experience in Git and code reviews.
Solid understanding of database systems (e.g., MySQL, PostgreSQL, MongoDB) and writing optimized SQL queries.
Understanding of A/B testing, data analysis, and performance metrics.
Exceptional problem-solving abilities and attention to detail.
Effective communication skills and the ability to work in a fast-paced, collaborative environment.
Senior AI Engineer (Prompt Engineer) | RHEI · Teeming.ai
