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Design, build, and deploy production-ready LLM-powered solutions including RAG pipelines and agentic workflows using Python and cloud platforms (AWS/Azure/GCP).
Lead a team building generative AI and predictive models for a major bank, aligning technical solutions with business needs and driving adoption across CRM, marketing, and product teams.
The Senior AI Engineer will design and build production-grade agentic AI systems and the underlying AWS infrastructure for a European online car marketplace. The role involves implementing knowledge graphs and collaborating with cross-functional teams to deliver reliable AI workflows.
Bei Machine Learning Reply unterstützen wir Unternehmen dabei, modernste AI-Technologien in reale Anwendungen und skalierbare digitale Produkte zu verwandeln. Zur Verstärkung unseres Teams suchen wir einen Junior AI…
The Principal Engineer will lead the development and deployment of Generative AI technologies within Google's Search Content Platform to enhance content understanding and user experiences. This role involves conducting applied research, shaping technical roadmaps, and collaborating across teams to integrate AI-driven insights into global search products.
The Senior AI Engineer will build and deploy multi-step AI pipelines, including hybrid retrieval systems, knowledge graphs, and production-grade monitoring and evaluation harnesses.
Build and deploy production AI services including multi-step pipelines, retrieval grounding with knowledge graphs, and agentic workflows at Siemens.
Senior AI Engineer designing and deploying agentic AI pipelines, knowledge graph systems, and evaluation harnesses across on-prem, hybrid, and cloud environments at Siemens.
The Senior AI Engineer will design and deploy complex AI pipelines, including hybrid retrieval, citation systems, and domain-specific knowledge graphs. The role focuses on building robust production systems with integrated monitoring, evaluation harnesses, and human-in-the-loop orchestration.
The Senior AI Engineer will build and deploy complex AI systems, including hybrid retrieval pipelines, agentic workflows, and knowledge graphs. The role focuses on implementing production-grade observability, evaluation harnesses, and multi-environment deployment strategies.
The Senior AI Engineer will build and maintain multi-step AI pipelines, implement observability, and develop hybrid retrieval systems with knowledge graphs. The role focuses on creating evaluation harnesses and managing multi-environment deployments.
The Senior AI Engineer will design and build scalable AI agents, LLM-based systems, and generative AI solutions using RAG techniques. The role involves working within an Agile DevSecOps framework to deliver secure, maintainable software while mentoring team members.
- Build retrieval systems for enterprise use cases - Conduct research and proof of concept experiments - Create evaluation and benchmarking pipelines - Design multi agent collaboration workflows - Develop generative AI…
RESPONSIBILITIES: Kforce has a client that is seeking a Senior AI Engineer in Fort Lauderdale, FL to join a highly collaborative data and analytics team. Summary: This role is responsible for designing, building, and…
Senior client-facing role designing and delivering AI data solutions for leading GenAI companies, focusing on labeling, evaluation, and synthetic data pipelines using Python and LLM workflows.
The Senior AI Engineer will work with large datasets in a high-security environment, focusing on AI/ML development, MLOps, and LLM integration within an on-premise infrastructure.
Intern exploring Green AI and agentic systems: research state-of-the-art, architect and implement a POC, deploy it on GCP with Kubernetes and MLOps tools, then analyze and optimize its environmental footprint. Core stack: Python, GCP, k8s, MLOps.
The Manager of Applied AI Engineering leads a team of engineers to help enterprise customers successfully design, deploy, and scale production-grade AI systems using OpenAI's technology. This role involves coaching the team on technical architecture, managing customer relationships, and developing operational frameworks to drive adoption and business value.
The AI Engineer will build and deploy stateful agentic systems and multimodal RAG pipelines for a fintech platform. The role involves architecting production-grade AI solutions on AWS/GCP, implementing security guardrails, and managing the full lifecycle of generative AI models.
The Lead AI Engineer will design and implement AI systems, including LLMs and agents, to drive digital transformation across business domains like marketing or finance. This role requires deep technical expertise in AI/ML and the ability to lead cross-functional teams in a product-focused environment.
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