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Oliver Wyman - AI Product Owner, Product Strategy - Dallas
Oliver Wyman, LLC
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Software Engineer - VE
Apple
Explore and adopt emerging tools including AI/LLM to continuously improve development velocity and operational efficiency
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Sr. Backend AI Developer
Sedgwick Claims Management Services Inc.
PRIMARY PURPOSE: The Backend AI Developer within the Transformation Office is responsible for building, operating, and scaling the backend systems that power enterprise AI capabilities.…
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Software Engineer III - UI / Experience Services Developer
JPMC page
…and Java-based experience services that incorporate agentic (LLM-driven)…
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AI Engineer – LLM & Agentic Workflows
CTRL + LLC
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Director of Product Management, Advertiser Platform
Moloco
Shipped production AI agents or LLM-powered features to external customers and drove their adoption. Prototypes alone do not meet this bar.
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ML/AI Data and Cloud Engineer
Tyler Technologies
Familiarity with modern AI-assisted development tools and workflows (e.g., LLM-based coding assistants, agentic development environments, or similar tools)
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Senior Principal Engineer
Autodesk
…the technical strategy and evolution of our cloud platform, developer experience, application delivery, and AI-enabled engineering capabilities within the GET Engineering - Horizontal…
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Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
Capital One
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
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AI Enablement Engineer
Scotiabank
…effective usage, and measurable value realization of generative AI, LLM-powered services, and intelligent productivity platforms across the…
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Java Developer (Junior) - AI-Enabled - Local to Pittsburgh, Dallas, Phoenix, Boston, or Providence
CGI Technologies and Solutions, Inc.
Java Full Stack Developer (Junior) – AI-Enabled Development
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Blackstone Data Science Product Engineering, Vice President
Blackstone Administrative Services Partnership
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Staff Security Engineer - AI-Driven Security Assurance
Apple
Experience with LLM orchestration, agent tool use, retrieval systems, context engineering, and techniques for grounding AI outputs in trusted organizational data.
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Technical Program Manager III, AI Transformation, Google Cloud
Google
Domain expertise in agentic development (e.g., enterprise RAG systems, Large Language Model (LLM) guardrails, and context management frameworks).
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Senior Software Engineer - Remote
UnitedHealth Group
Apply modern AI/ML and generative AI capabilities, where appropriate, including intelligent agents, copilots, LLM-enabled applications, and real-time inference
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Staff DevOps Engineer
Witness AI
High-impact individual contributor role at the intersection of cloud infrastructure, developer experience, AI-augmented tooling, and platform security. You will own architecture and…
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Scientific AI Engineer
Harvard University
…wrap existing ImmGen data so they can be invoked reliably by LLM-based agent that calls on public analytical and visualization…
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Senior Engineering Manager, AI Platform
OpenLoop Health
…build and lead our Applied AI team, the engineers who ship the LLM-based agents and assistants our operations, clinical and patient-facing teams use every…
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Digital/Technical Product Manager Lead- AI Ops
United Services Automobile Asn
Make build-versus-buy and platform-selection recommendations for AIOps-specific capability - which LLM or model family to standardize on, whether a vendor platform covers a need better than…
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2027 Spring/Summer Intern, Agentic AI Solutions
Samsung Research America Internship
Develop Intelligent systems that use the LLM backed agentic framework to address expectation of Bixby as a next generation smart assistant
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Forward Deployed Engineer
monday.com
- Fluency in Generative and Agentic AI development, spanning LLM-based workflows, agent orchestration and tool use, and context and retrieval design, with AI-assisted editors such as Cursor…
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Operations Control Specialist, Applied AI/ML
Millennium
Direct experience building with generative AI, such as LLM APIs, retrieval-augmented generation, agent frameworks, and tool orchestration, plus a practical understanding of its limitations…