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The AI Engineer will be the first dedicated AI hire for a business, responsible for designing, deploying, and governing AI solutions including RAG architectures, copilots, and intelligent automation. The role involves working with Python, AWS, and Microsoft enterprise technologies to drive AI-led innovation across the organization.
Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We’re looking for an AI Software Engineer with strong C# .NET experience to join the…
Builds backend services and automates affiliate-marketing workflows using AI/LLMs to process traffic, integrate partners, and optimize conversions.
AI SOFTWARE ENGINEER £60,000 - £80,000 (dependent on level / experience) Tankersley, South Yorkshire- Hybrid (3 days on-site, 2 days from home) C# / .NET | Modern JavaScript | SQL Server & PostgreSQL | AI Tooling |…
AI Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI / Machine Learning. Company: Our client is a globally…
Build innovative AI solutions that make an immediate difference Work with AI (CoPilot), Python and Azure. Join a rapidly growing team focused on innovation and automation. Gain exposure to large-scale enterprise AI…
AI Engineer / AI Solutions Specialist North Sheffield | Hybrid (3 days onsite) | Permanent Artificial Intelligence is changing the way businesses operate. This is your opportunity to be the person who helps shape that…
FlairBit, realtà tech di Genova, cerca un Software Engineer con 1,5–2 anni di esperienza per lavorare all’intersezione tra sviluppo software, dati e Intelligenza Artificiale. Il candidato ideale comprende principi OO,…
AI Engineer | £ | Hybrid Build the AI systems our users actually experience. We're looking for a dynamic AI Engineer (5 years) to design, build, and deploy autonomous, user-facing AI solutions - LLM-powered…
AI Engineer London (Hybrid - 3x a week) The Company They are a large, data-driven organisation investing heavily in artificial intelligence and advanced analytics. Their AI team is focused on building innovative…
AI Engineer London (Hybrid, 3 days per week) This is an opportunity to join a newly formed AI function at a pivotal stage of growth. You'll work on high-impact AI initiatives across machine learning, Generative AI and…
AI Software Engineer building GDPR-compliant, enterprise AI solutions end-to-end in Osnabrück, using AI-assisted workflows (Claude, Copilot) while owning architecture, DevOps, and multi-tenant service delivery on Azure.
Develop complex AI applications, chatbots, and LLM-based systems using Python/LangChain or Java/Spring AI with RAG architectures, deployed on cloud and on-premise Kubernetes environments for enterprise clients.
Build and deploy AI models to improve vehicle search, content generation, and SEO/GEO strategies for an automotive-focused platform using NLP, LLMs, and cloud-native tools.
Automate GRC and compliance processes (ISO 27001, SOC 2) using Python, N8N, and Drata while co-designing AI governance frameworks and embedding security by design into product and engineering projects at Mirakl's Paris/Bordeaux office.
Build and maintain production AI systems using LLMs, agents, and retrieval pipelines that autonomously engage donors for nonprofits, combining backend services with AI workflows.
Freelance Vibe Coding Expert collaborating with LLM/AI systems to refine prompts, write Python scripts for data analysis and automation, and produce well-structured outputs using Markdown/JSON for the Tendem hybrid-agents project.
Build and deploy LLM-based AI agents, RAG pipelines, and vector databases to automate workflows and boost engineering productivity using Python, LangChain/LangGraph, and cloud platforms.
This role involves designing and deploying AI-powered applications, including agents, copilots, and RAG solutions, using frameworks like LangChain and Python. The engineer will integrate these AI systems into enterprise environments and contribute to best practices for AI development.
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