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AI Software Engineer designing and deploying end-to-end enterprise AI applications using LLMs, RAG, React/TypeScript frontends, Python backends, and Azure cloud infrastructure with full product lifecycle ownership.
The Data & AI Software Engineer will develop and maintain scalable data pipelines for analytics and machine learning within an agile environment. The role focuses on optimizing data infrastructure, ensuring data quality, and implementing security measures using technologies like Python, Spark, and Azure.
The Applied AI Engineer will leverage generative AI tools to enhance business analysis, documentation, coding, and research processes. The role requires a quantitative degree and at least two years of experience in data analytics or AI implementation.
AI Engineer designing and prototyping AI solutions (LLMs, Agentic AI) in Azure, then transitioning them into production within WSP's AI Accelerator team.
The AI Engineer will design and develop software solutions using generative AI and machine learning methodologies. The role requires proficiency in Python, Java, TypeScript, and Go, along with experience in RAG, agents, and system architecture.
Applied AI Engineer building LLM-based features using C# .NET, focused on prompt design, context engineering, structured outputs, and evaluating LLM outputs within established production codebases.
Salary: £63,000 - 103,000 per year Requirements: We require a bachelors degree in computer science, engineering, mathematics, or equivalent experience in a professional field or military. We require experience…
The AI Engineer will develop and deploy AI solutions using Python, focusing on large language models, generative AI frameworks, and MLOps/LLMOps practices.
The Data & AI Engineer / MLOps Engineer will lead the deployment and maintenance of AI solutions from research to production. The role involves collaborating with cross-functional teams using Python, PySpark, SQL, and AWS.
The Data & AI Software Engineer will build and operate scalable data, analytics, and machine learning pipelines using modern DevOps practices. The role involves working in an agile, interdisciplinary team environment in Barcelona.
La Fundación para el Desarrollo y la Innovación Tecnológica ( Funditec ) es un centro de investigación aplicada sin ánimo de lucro que promueve la innovación tecnológica como motor de competitividad y sostenibilidad.…
The Senior Backend Developer will help build a foundational enterprise Generative AI platform on Azure, focusing on architecture, deployment, and cloud-based service design using Node.js or .NET 8.
Senior AI Engineer at a leading insurance company driving digital transformation, though the posting lacks detail on day-to-day responsibilities and core technologies.
The AI/LLM Engineer will design and develop intelligent applications including chatbots, copilots, and autonomous agents. The role involves orchestrating LLM APIs, building RAG pipelines, and implementing security guardrails using technologies like Python/Node.js, LangChain, and vector databases.
This Senior AI/LLM Engineer role involves designing and building scalable LLM-based applications such as chatbots, copilots, and autonomous agents. The position focuses on RAG pipeline architecture, API orchestration, and ensuring production-grade security and observability using technologies like Python, LangChain, and vector databases.
AI Product Engineer - Birmingham - Hybrid (3 days a week in office) - £85,000 A growing SaaS business is building the next generation of intelligent software and is looking for an AI Product Engineer to help transform…
Build and own a data platform for Sieora’s AI outbound engine, handling data ingestion, PostgreSQL storage design, and LLM-driven feature development with end-to-end scalability and operational rigor.
The AI Engineer will build and maintain an agent platform for NewsBreak, focusing on orchestrating agent runtimes, designing evaluation harnesses, and managing context engineering. This role involves end-to-end development of AI-driven features using Python, React, and modern AI development tools.
Build and maintain AI infrastructure, models, and tools for a commerce-focused AI platform, including RAG systems, agent frameworks, and evaluation guardrails.
Build and deploy AI models for financial research and trading systems, focusing on low-latency, reliable production integration and tooling for quant researchers.
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