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The AI Architect will design and deliver enterprise-grade Generative and Agentic AI solutions on the Microsoft Azure platform for a government project. The role involves architecting RAG systems, managing AI agents, and ensuring secure, scalable production deployments.
This role involves leading data analytics and AI initiatives, specifically focusing on developing and improving NLP and generative AI solutions within a legal technology environment. The position requires extensive experience with the Azure AI ecosystem, Python, and machine learning to build scalable, cloud-based applications.
The AI Platform Engineer builds and operates enterprise GenAI and LLM platforms, focusing on MLOps frameworks, RAG, and CI/CD automation. The role requires expertise in Kubernetes, Docker, and Python or TypeScript to support distributed AI services and developer experience.
Build and improve ML ranking models for Canva’s private search, using ElasticSearch and vector search to surface user content with high relevance and recall.
Designs and maintains production-grade data pipelines for AI/ML and RAG systems, focusing on ingestion, transformation, and vector search infrastructure (pgvector, Pinecone). Ensures data governance, compliance, and quality for regulated sectors like healthcare and government.
Senior Data Engineer building AI-ready data pipelines, RAG/vector search infrastructure, and data governance solutions using Python, Airflow, Kafka, and vector databases like pgvector and Pinecone.
This role involves building full-stack web applications integrated with Generative AI and LLMs to support research and data-driven decision-making. The engineer will work across the stack using React, Next.js, TypeScript, Python, and FastAPI to develop scalable, AI-enabled solutions.
ML Operations Engineer owning production ML/LLM model serving, deployment, and operations in Mercari's cloud-native environment using Kubernetes, Terraform, Python, and NVIDIA/TPU stacks (Triton, TensorRT-LLM, JAX).
The Applied AI Engineer will design, build, and productionise AI-powered features within a C# .NET platform. The role focuses on integrating LLMs, RAG pipelines, and vector search into scalable, customer-facing software.
The Senior Data Engineer will design, build, and optimize cloud-native data platforms and AI-powered products for enterprise clients using Snowflake, Databricks, AWS, and Azure. This hands-on role involves developing data pipelines, implementing governance frameworks, and collaborating directly with stakeholders to deliver scalable data solutions.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
Design, build, and support AI-powered and GenAI solutions (LLMs, agents, workflow automations) using Python within Morgan Stanley's Cyber Security Operations, collaborating across engineering, data, security, and business teams.
Architect and maintain enterprise-scale data platforms powering vector search, RAG, LLM, and Agentic AI for DoD and Intelligence Community clients, leading cross-functional technical decisions across infrastructure, cybersecurity, and mission teams using Python, SQL, and major cloud platforms.
About this role: This Senior Software Engineer will help design, build, and evolve next-generation AI-powered operational platforms. In this role, you will drive the development of scalable microservices, agentic AI…
Architect, build, and operate Microsoft Azure cloud solutions for ChIRP, a generative AI platform supporting NIH research, leveraging Terraform/IaC, DevOps/CI-CD, and AI/LLM services.
WEX is looking for a Senior AI Data & Database Engineer to help modernize critical SQL Server systems while building the data infrastructure that powers AI applications and agents. This is a hands-on engineering…
The Infrastructure Engineer will design, implement, and support enterprise identity, AI, and cloud platforms. The role involves managing Microsoft Entra ID, configuring AI tools like Copilot, and automating cloud infrastructure across Azure, AWS, and GCP.
Senior AI/ML Engineer defining architecture, standards, and governance for AI/ML platforms, agent frameworks, and MCP strategy within Network Intelligence at an ISP, primarily using Python, LLMs, and agentic orchestration technologies.
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