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The Senior AI Software Engineer will build core backend services, LLM integration layers, and retrieval infrastructure for an AI operating system. The role focuses on platform engineering using Java, Go, and Python within a distributed AWS environment.
12 years of software engineering experience with strong expertise in Python, AWS and Typescript. Candidate should be owning end-to-end delivery with minimal supervision. Extensive experience building AI applications…
Our client is a leading global independent investment banking advisory firm that provides strategic advice on mergers and acquisitions, capital raising, restructuring, and other corporate finance matters to…
Designs scalable AI/data pipelines, integrates LLMs, and deploys ML models for production, ensuring data quality and system reliability while collaborating with engineering, product, and DevOps teams.
The Junior AI Software Engineer will build and maintain AI-powered applications and services, focusing on LLMs, RAG, and agentic workflows. The role requires 2-4 years of software engineering experience and proficiency in Python, JavaScript/TypeScript, or Java within an Azure cloud environment.
The Junior AI Software Engineer will build and maintain AI-powered applications, integrating LLMs and agentic workflows into scalable backend and full-stack systems. The role focuses on leveraging cloud technologies, primarily Azure, to develop modern AI solutions.
The Junior AI Software Engineer will build AI-powered applications and services while contributing to backend and full-stack development. The role requires proficiency in Python, JavaScript/TypeScript, or Java, along with experience in cloud platforms and CI/CD.
AI Automation Engineer focusing on designing and building AI-driven workflow automation using Microsoft Copilot and Copilot Studio, with responsibilities for technical architecture, build quality, and mentoring junior engineers.
The Lead AI Engineer will design and deploy production-grade LLM and agentic AI systems using Python, RAG, and cloud infrastructure. The role requires extensive experience in full-stack development and advanced AI techniques like knowledge graphs and embeddings.
Builds AI-driven automation frameworks and agentic workflows to solve business challenges, integrating solutions into SIXT’s tech ecosystem. Designs scalable AI systems, collaborates with stakeholders, and ensures global performance.
Senior/Staff engineer on an Enabling Team at Scalian, coaching dev squads and industrializing GenAI/Agentic workflows at scale—orchestration, tool calling, guardrails, observability, and on-premise deployment—using primarily Python and Node.js in containerized environments.
Lead AI Engineer setting technical direction for AI-powered product development—designing LLM workflows, RAG pipelines, and agentic features—while delivering full-stack code (Python/Node.js, AWS, React) for FCA-regulated financial services.
The Junior AI Engineer will develop and deploy end-to-end AI applications, including LLMs and RAG systems, using Azure and Databricks. The role involves building scalable AI pipelines and collaborating with departments to implement AI use cases within a high-tech environment.
The Junior AI Engineer will develop and deploy production-ready AI applications, including LLMs and RAG systems, using Azure and Databricks. The role involves building AI services and pipelines while collaborating with stakeholders to implement innovative AI solutions.
This role is for a Senior Data/AI Engineer and Manager at a technology and transformation consultancy. The position involves delivering data and AI solutions in a hybrid working environment based in Manchester.
Principal AI Engineer embeds with customers to rapidly build and deploy production-grade AI solutions using Python and large language models, setting technical standards for AI deployment.
Develops and operates production-grade multi-agent systems and autonomous workflows, focusing on RAG architectures, knowledge graphs, and hybrid retrieval strategies for AI-driven document processing and LLM optimization.
AI Engineer responsible for designing, developing, and deploying AI-driven solutions to enhance data analytics capabilities for a data-driven industry leader.
The Applied AI Engineer will design, build, and productionize LLM-powered agents and AI workflows using AWS-native technologies like Amazon Bedrock. This is a long-term contract role focused on delivering reliable AI systems for business use cases.
The Senior AI Engineer will develop production-grade AI systems using Python, focusing on agentic workflows and knowledge graph integration. The role involves building applications with frameworks like LangChain and integrating LLM APIs.
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