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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.
The Data and AI Engineer builds and maintains the data infrastructure, pipelines, and governance frameworks required for analytics and AI initiatives. The role also focuses on developing agentic AI and LLM-powered automation to replace manual workflows.
The Applied AI Engineering Manager leads a team of engineers to help high-growth startups integrate OpenAI's technologies into their products. This role involves defining strategy, mentoring technical staff, and partnering with cross-functional teams to drive production adoption of AI models.
This internship involves designing and prototyping an automation chain to evaluate and improve the 'agent-readiness' of e-commerce product catalogs for AI agents. The role focuses on Generative Engine Optimization (GEO) and requires strong Python skills and experience in GenAI.
Andrew Morgan LLC (AM) is a fast-growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone Small Business. We are seeking a motivated and technically skilled AI Engineer or Solution Architect to join…
We are seeking an expert Senior Prompt Engineer to design, optimize, and operationalize the LLM architectures powering BOLD’s consumer-facing career tools. In this role, you will bridge the gap between advanced natural…
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