AI Platform LeadType:Full-TimeLocation:Nova UCD DublinAbout Better Futures LimitedBetter Futures is transforming engineering productivity with EVA — the first AI Assistant SaaS platform built specifically to free engineers from paperwork. Headquartered in Dublin's NovaUCD, Better Futures is an early-stage deep-tech vertical AI startup already gaining significant traction with Fortune 500 customers such as ABB and Safran.Backed by Enterprise Ireland and private investors, and with a recently closed (unannounced) seed round, we are now entering a pivotal growth phase. We're expanding the team and building the foundational platform and product needed to scale into a new €20B+ market. This position will play a defining role in this pioneering journey.The Position - AI Platform LeadYou will lead the design and development of EVA's AI platform end-to-end and serve as a core technical pillar of the product. First and foremost, this is a hands-on builder role.We're looking for a senior AI engineer and architect who has already designed and delivered AI/ML platforms and wants to build EVA's core AI platform hands-on. You know what it takes to ship production-grade hybrid AI systems combining LLMs, RAG, ML inference, agent workflows, and structured knowledge -- and you're excited at the chance to build from early stage to a professional platform.WHAT YOU WILL BUILDAI Platform Architecture (RAG + Agents + Hybrid Systems) -Architect and build EVA's core AI platform, including:RAG pipelines with optimized embeddings, ranking and retrieval structures.LLM-based agent workflows, using frameworks such as LangGraph, PydanticAI, MCP, or custom orchestrators.Hybrid inference layers that combine LLM outputs with ML models, rules, or domain logic to ensure accuracy and consistency.Define the architectural patterns and abstractions that all EVA assistants and AI features will rely on.Engineering Knowledge Layer -Design and implement EVA's multi-layer Knowledge Layer, including:Data ingestion, normalization, and transformationPost-processing frameworks that enforce factual correctnessEnsure knowledge representations support high recall, precision, traceability, and scalability across customers.LLM & ML DevelopmentDevelop model guardrails, consistency checks, and verification workflows grounded in domain rules and ML outputs.Train, fine-tune, and optimize LLMs using LoRA, QLoRA, or custom training approaches on domain-specific engineering datasets.Productionisation, Reliability & PerformanceDeploy AI components into production with robust monitoring, observability, and fallback mechanisms.Optimize system performance, latency, and cost efficiency for multi-tenant enterprise customers.Ensure platform behavior meets the reliability and compliance requirements of regulated industries.Technical Leadership & StandardsMentor AI and backend engineers, contributing to a high-performance engineering culture.Make foundational technical decisions that shape EVA's long-term platform and IP.Translate product requirements into platform architecture and engineering plans.Establish best practices in AI experimentation, benchmarking, data workflows, and responsible AI.WHAT YOU BRINGRequiredMinimum 8+ years of software engineering experience, with 5+ in applied AI/ML, including designing and delivering production-grade AI systems.Strong Python engineering skillsProven experience building:RAG systemsLLM agents / orchestration frameworksHybrid ML + LLM pipelinesKnowledge layers or semantic/ontology-based systemsExperience fine-tuning LLMs on domain-specific datasetsHands-on cloud experience (Azure, AWS, or GCP)AI systems in cloud environments using containerized or orchestrated workloadsAbility to design and build production-quality AI systems end to endStrong technical judgement around accuracy, safety, scaling, and architectureExperience designing evaluation frameworks, feedback loops, or reward-based scoring systems that improve RAG / model output qualityNice to HaveEarly-stage startup experienceExperience in engineering, manufacturing, med-tech, energy, or aerospaceExperience with Knowledge graphs or ontology modelingWHY JOIN USBuild something with purpose -Work on technology that can reshape how engineering teams design and build the physical world. Help create a platform that removes bottlenecks, accelerates innovation, and empowers engineers.Build with ownership –This is a founding-level technical role with deep autonomy, where you'll architect core systems, set the standards, and shape EVA's long-term technical direction.Build with reward– Competitive salary combined with equity gives you personal reward in the value you help create.Build with great people– Join an ambitious, pioneering team in the heart of Dublin's startup community at NovaUCD.Join at the perfect moment - Early enough to have outsized influence but building on existing momentum. A great opportunity to grow and turbo charge your career.If you are excited, please send your CV and a cover letter explaining why you are the ideal candidate for this role to.