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The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
Design, develop, and deploy GenAI and agentic workflows across the HR hire-to-retire lifecycle at Revvity, building full-stack applications that integrate LLMs and RAG pipelines with enterprise HR systems like Workday.
At ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the…
The Advisor AI/ML Engineer will define enterprise AI blueprints and lead the development of LLM-based solutions and MLOps pipelines for commercial applications. This hands-on role involves mentoring engineers and bridging cutting-edge AI research with business outcomes using technologies like Python, PySpark, AWS, Azure, and Databricks.
This Senior Associate role at PwC involves developing and deploying AI and machine learning solutions, including GenAI and statistical models, within the Palantir Foundry platform to support risk management and regulatory compliance for clients. The position requires expertise in data engineering, model development, and cross-functional collaboration to deliver scalable analytical workflows.
As a Senior Manager, you will lead the development of innovative AI-driven software solutions and manage cross-functional teams to drive digital transformation for clients. The role involves designing enterprise architectures and building scalable applications using Python, React Native, and various AI frameworks like LangChain and RAG.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable GenAI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating AI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams using Python, PyTorch, and cloud-based AI platforms.
The AI Engineer will build and scale the infrastructure and operations platform for AI products, focusing on MLOps, automation, and observability. The role involves managing ML and LLM pipelines in AWS and Azure environments while collaborating with cross-functional data teams.
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.
The Principal Software Engineer will architect and lead the development of agentic AI applications and RAG pipelines within Red Hat's Digital Workforce team. The role involves leveraging Generative AI frameworks like LangChain and LangGraph to build scalable solutions on the OpenShift platform.
This Senior Machine Learning Engineer role in the Healthcare & Life Sciences unit involves leading end-to-end AI/ML project delivery, including hands-on development of RAG pipelines, agentic workflows, and MLOps systems. The position requires deep expertise in Python, PyTorch/TensorFlow, and modern AI frameworks to build scalable, production-grade solutions.
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.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
Design and integrate LLM/agent orchestration workflows, RAG pipelines, and AI governance guardrails for USCYBERCOM's AI Enterprise platform using Python and agentic frameworks like LangGraph and NVIDIA NeMo Agent Toolkit.
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.
Build and maintain enterprise AI solutions in Python/Java, integrating LLMs and conversational assistants for a public-sector modernization project in Madrid.
Hands-on Senior AI Platform Engineer designing, building, and governing AI-powered productivity experiences using Microsoft 365 Copilot, Copilot Studio, Power Platform, and Azure AI services within the foundation's internal IT team.
This role leads a team of full-stack engineers to develop Python and Angular/React-based applications for US Wealth Advisory. The position focuses on integrating Applied AI technologies, such as LLMs and RAG, into portfolio design platforms and engineering workflows.
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