Generative Ai Rag Architect | (Xa87)

Detalles de la oferta

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: 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. Evaluating the performance of the RAG system using appropriate metrics and regularly updating the data sources and models 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. 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.

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Salario Nominal: A convenir

Fuente: Jobleads

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