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Generative AI RAG Architect

Remote: 
Full Remote
Work from: 
Hungary, Poland, Philippines, Spain, Malta, United Kingdom, Sweden, Delaware (USA), Illinois (USA), Nevada (USA), New Jersey (USA), North Carolina (USA), Pennsylvania (USA), United States

Offer summary

Qualifications:

Proven experience in generative AI applications, Deep knowledge of LLMs and RAG patterns, Familiarity with OpenAI and Hugging Face, Experience with dataset optimisation.

Key responsabilities:

  • Optimise LLMs, datasets, and workflows
  • Design and deploy RAG conversational agent
  • Maintain RAG architecture within cloud environments
  • Evaluate and optimize RAG system performance
Play'n GO logo
Play'n GO SME http://www.playngo.com/
501 - 1000 Employees
See more Play'n GO offers

Job description


Job Details 

Hours: Full Time 

Location: Fully remote. This opportunity is open to you if you can legally work remotely from one of our home countries in the USA, the UK, Sweden, Malta, Hungary, Spain, Poland, or the Philippines. 

Contract: Permanent 

At Play’n GO we enjoy a flexible freedom to shape our own days. Everyone we hire is unique and every role we fill has certain performance expectations. The day-to-day challenges of work and life will be unique to you but our commitment to helping you find a balance will never vary.  

From the GO 

At Play’n GO our purpose is to entertain. Our pleasure is in working with people ready to make a difference that lasts. We are pioneers. We were the first entertainment supplier to recognise the potential of gaming on the GO and create the innovative mobile games which supercharged our industry and inspired our name. Today, Play’n GO is the leading gaming entertainment supplier to casinos in regulated markets the world over. And we are still growing.  

With growth comes opportunity. This could be yours. Are you ready to help us face challenges and find solutions that get us both to the next level of excellence?  


What the role entails:

Some of the key responsibilities of our Generative AI RAG architect will be: 

  • Optimising LLMs, datasets, and agent workflows to uphold the highest quality standards, minimising hallucinations and output errors for RAG models.
  • Designing and deploying a state-of-the-art retrieval-augmented-generation (RAG) conversational agent, leveraging a vast and intricate proprietary dataset.
  • Deploying and maintaining RAG architecture and LLM pipelines within cloud environments, ensuring top-tier performance.
  • Fine-tuning data-chunks and text embeddings for superior semantic search across a specialised text corpus.
  • Evaluation and optimization: Evaluate the performance of the RAG system using appropriate metrics and regularly update the data sources and models etc. based on continuous feedback and monitoring.

 

What we ask of you:

  • Proven experience designing and delivering generative AI applications, leveraging technologies such as Large Language Models (LLMs), Foundation Models, or similar generative AI systems.
  • Generative AI Expertise:
    • Deep knowledge of generative AI concepts such as transformer models, prompt engineering, model fine-tuning, and retrieval-augmented generation (RAG) patterns.
    • Familiarity with relevant AI models and technologies such as OpenAI and Hugging Face

What’s in it for you?  

If you feel great, you’ll do great. Our employees know that their package of benefits, activities, and initiatives are some of the most generous in the industry. From challenges to chill outs, the fun we share at play helps inspire excellence from the go.  

Apply now to find out more. It’s your best move. This opportunity will remain open until we meet the right candidate.  

GO for it. 

We believe the way forward relies on well-regulated gaming and player safety. Our commitment to this sets the standard for our industry. 

 

 

Required profile

Experience

Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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