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Design, build, and deploy production LLM-powered applications, multi-agent workflows, and autonomous AI systems using Python, LangChain/LangGraph, and Azure cloud infrastructure in a hybrid London role.
AI Engineer Intern at Hitachi Digital Services in Ho Chi Minh City, contributing to industrial AI R&D projects using Python/C++, deep learning, LLMs, PyTorch/TensorFlow, and Langchain.
The Lead AI Engineer will architect and deliver enterprise-scale AI solutions, including intelligent agents and LLM-powered applications, to support drug discovery and clinical research. This role involves leading a team of engineers, managing AI platform infrastructure, and collaborating with cross-functional stakeholders using Python and modern AI frameworks.
Build and lead GenAI and voice agents for medical devices, balancing model quality with on-device constraints while ensuring safety and regulatory compliance.
The Generative AI Developer will build and integrate agentic, retrieval-grounded AI applications using pre-trained foundation models and frameworks like LangChain and LlamaIndex. The role focuses on prompt engineering, RAG system development, and deploying AI workflows within a financial services environment.
This role involves architecting and building enterprise-grade AI solutions, including LLM-based agents and RAG pipelines, to optimize IT business applications like marketing and sales workflows. The position focuses on solutions engineering and technical leadership rather than pure research.
This role involves building and operating AI-driven business applications for marketing and sales using LLMs, agents, and RAG. The engineer will lead the design and production deployment of scalable, agentic workflows within the IT Business Applications team.
The Agentic AI Engineer will design and deploy autonomous AI agents and machine learning solutions to modernize operations for the United States Postal Service. The role involves building agent-based architectures using frameworks like LangChain and AutoGen, implementing MLOps pipelines, and ensuring AI governance and performance.
The Senior AI Agent Engineer will build and operate a production platform that enables AI agents to assist engineering teams with software delivery. The role involves designing resilient workflows, managing LLM-powered systems, and collaborating with internal teams to improve software development processes.
The AI Engineer will design, develop, and deploy AI-powered solutions, including machine learning models, intelligent agents, and copilots, using Python and Azure cloud platforms. This role involves collaborating with cross-functional teams to integrate AI into enterprise applications while adhering to responsible AI and security standards.
Build and deploy enterprise-grade AI systems, from prototypes to production, integrating LLMs and agentic workflows while ensuring reliability, security, and cost efficiency.
Senior platform automation engineer at Bank of America focused on accelerating enterprise GenAI and analytics adoption through CI/CD, Infrastructure-as-Code (Terraform), Kubernetes automation, and self-service platform capabilities using Python and Atlassian toolchains.
Project Manager owning end-to-end delivery of Generative AI products at AIG, a global insurance company. Drives cross-functional Agile teams, manages stakeholders, and ensures AI initiatives ship on time with the right business outcomes.
Designs, builds, and deploys AI/ML systems on Google Cloud to solve business problems, focusing on model optimization, MLOps pipelines, and agentic AI workflows for Crate & Barrel’s core products.
AI Engineer - Cardiff Our client is a leading company based in central Cardiff and they are looking to hire a couple of experienced AI engineers to join their IT team. In this position, you will lead on the design,…
AI Engineer to assess business processes, design AI-driven automation solutions (LLMs, agents, RAG), and build production-ready AI applications for an investment-focused organization’s portfolio.
Designs and deploys AI/ML models and platforms in Azure, integrating generative AI and LLMs into customer workflows via APIs and copilots to drive data-driven decisions.
Senior AI Partner Solutions Architect at Amazon AWS, focusing on driving AWS adoption for healthcare/public sector customers by bridging technical expertise and business strategy to solve complex challenges in contact center and enterprise solutions.
Solutions Architect on AWS's worldwide GenAI training and inference team, driving go-to-market strategy and helping customers adopt and scale generative AI workloads across the full ML stack (PyTorch, JAX, Kubernetes, Slurm, EC2, NCCL/MPI).
Do you like startups? Are you an expert in the development and tuning of mdodels, practical application of GenAI, AI, and ML? Are you interested in the intersection of cloud computing, generative AI, and disrupting…
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