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Location: Nova UCD Dublin
Employment Type: Full-Time
Job Title: AI Engineer
About Better Futures Limited:
Better Futures is transforming engineering productivity with EVA, the first AI Assistant SaaS platform built specifically for engineers. Engineers spend up to 50% of their time on documentation, verification, and knowledge retrieval—EVA automates these tasks, freeing engineers to focus on high-value work and boosting productivity by up to 3X. Headquartered in Dublin’s innovation hub, Nova UCD, Better Futures was founded by Anthony Mc Loughlin, a recognized Engineering AI leader. With a first-mover advantage in a new €7B+ global market, the company is already making an impact at leading global manufacturers like Sensata Technologies, with a rapidly expanding enterprise pipeline.
The position:
We’re looking for a hands-on, customer-focused AI Engineer who thrives in fine-tuning large models and optimizing Retrieval-Augmented Generation (RAG) architectures. This is an implementation role rather than a R&D role—it's about building, deploying, and improving AI models for real-world engineering applications.
Who we are looking for:
A data scientist/ML engineer who is passionate about applying AI to real customer challenges, not just theoretical research. You love fine-tuning models, optimizing RAG pipelines, and deploying AI that actually gets used. You’re highly self-driven—excited to take ownership, iterate fast, and build AI that matters.
Key Responsibilities:
* Independently lead key projects such as building new assistants and fine-tuned models in an independent end-to-end manner. Understanding and documenting customer requirements, implementing model and user interfaces, ensuring successful deployment and customer satisfaction.
* Fine-tune and optimize LLMs for domain-specific engineering applications.
* Design and implement efficient RAG architectures for enhanced retrieval and contextual understanding.
* Work closely with customers and application teams to ensure models deliver practical value.
* Develop pipelines for continuous model improvement based on user feedback and domain-specific datasets.
* Collaborate with engineering teams to integrate AI solutions into our SaaS platform.
Requirements:
* 3+ years of experience in fine-tuning LLMs (LoRA, QLoRA, PEFT, instruction tuning, RLHF).
* Hands-on experience with RAG frameworks (e.g., LangChain, LlamaIndex, Weaviate, Milvus, Pinecone).
* Strong skills in PyTorch, TensorFlow, Hugging Face, and vector databases.
* Experience optimizing inference and retrieval efficiency for production workloads.
* Deep understanding of embedding models, prompt engineering, and data curation.
* Cloud development experience especially Azure.
* Strong communication & leadership skills to drive customers and product teams to successful AI solutions.
* Startup mindset – hands-on, fast-moving, and adaptable.
Nice to Have / Bonus:
* Experience deploying AI in engineering, manufacturing, or technical domains.
* Previous work in AI-driven SaaS products.
What We Offer:
* Competitive salary and equity options.
* A unique opportunity to work at the forefront of AI to revolutionize manufacturing, engineering and seeing immediate impact in customer workflows.
* An exciting pioneering team and company, with huge upside for career growth and learning.
* A great culture and environment, working in the heart of Dublin’s startup community at Nova UCD.
If you are excited, please send your CV and a cover letter explaining why you are the ideal candidate for this role to info@betterfutures.ai.
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