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Job Summary SDLC GenAI Automation & Tooling Integrations Engineer will play a key role in automating and modernizing the enterprise SDLC by designing, building, integrating, and enhancing GenAI-enabled tooling and…
The Opportunity MassMutual's AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production…
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4 years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational…
Build and maintain data pipelines, models, and AI integrations for a construction and property group, using Python, SQL, and Azure.
Senior AI Engineer builds and deploys production-grade LLM, RAG and agent systems, sets engineering standards, and drives AI operationalisation across a large Australian organisation.
Build and ship AI-driven features using frontier models, agentic workflows, and full-stack engineering to power G2’s software marketplace with trusted insights.
Build and optimize agentic AI systems using RAG and LangGraph for enterprise clients, integrating LLMs into scalable workflows.
Design and build AI solutions, agents, and LLM-based apps for enterprise financial services, integrating with systems and APIs.
Builds and deploys AI/ML and Generative AI models using Python, TensorFlow, and cloud platforms to solve business problems and enable data-driven decisions.
Senior AI Engineer builds enterprise AI solutions like chatbots and copilots, integrates LLMs via APIs, and advises on secure AI adoption across a large organization.
Build and deploy AI models and agents at scale using Python, GCP, and MLOps pipelines to improve JYSK’s operations and customer experiences.
Meta is hiring an AI Software Engineer to build and optimize AI infrastructure systems for wearables AI, solving complex challenges across Meta's platforms.
Build full-stack software for an AI-driven lab that designs experiments, automates lab robots, and integrates AI models and equipment into a production-ready platform.
Optimize distributed AI training for 100B+ parameter models across 100k+ GPUs, writing CUDA/Triton kernels and co-designing hardware-efficient training recipes.
Design and implement LLM harnesses and cloud AI orchestration on Azure/AWS, integrating AI agents and multi-modal models in Python/Java.
Builds and deploys agentic AI systems, integrating LLMs and automation tools into enterprise workflows while ensuring reliability, security, and scalability across full-stack applications.
Build AI-powered tools and full-stack systems (Python backend, React frontend) to automate creative workflows and enhance design systems for a global tech company in Singapore.
Builds and deploys AI/ML and generative solutions using Python, TensorFlow, and Azure AI, including agentic apps, RAG chatbots, and document-processing systems.
Design and deploy AI models (LLMs, CV, Agentic AI) from research to production APIs, build RAG pipelines, and integrate solutions with core systems.
Build and deploy production-grade agentic AI systems for regulated enterprises like banks and insurers, integrating multi-agent orchestration, RAG pipelines, and MCP servers on AWS.
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