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The Senior Data Engineer will design and build scalable data infrastructure and production-ready pipelines using Snowflake, DBT, and Python. This role involves managing the full data lifecycle, implementing governance, and collaborating with stakeholders to support internal decision-making and product development.
Senior AI Engineer builds and maintains AI agents that automate complex supply chain decisions by querying industrial knowledge graphs, using tools like Cognite Flows and React/Python stacks.
The Architect will lead the design and development of JAGGAER's next-generation AI and agentic platform, integrating LLMs, multi-agent systems, and MLOps into their procurement and supply chain software. This strategic role requires deep technical expertise in full-stack engineering, AI frameworks, and cloud-native architecture to drive autonomous workflows.
Koniag IT Systems, LLC a Koniag Government Services company, is seeking an AI Integration Engineer to support KITS and our government customer Washington, DC. The position is hybrid, requires 1 day onsite. This…
Designs and deploys AI/ML solutions on Azure, integrating with business systems like Dynamics 365 and Power BI; focuses on architecture, MLOps, and cross-team collaboration to enhance client advisory services.
Develop and deploy ML/DL models and generative AI systems (RAG, agentic AI) for an automotive client in Pune, using Python and Azure OpenAI in an Agile, cross-functional team.
Design and build agentic workflows and AI-assisted tools using LLMs and retrieval systems to automate business processes in a manufacturing context.
Lead cross-functional programs to build data pipelines, AI-powered tools, and dashboards that turn operational data into actionable insights for Oracle’s cloud infrastructure delivery teams.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
The AI Architect designs and implements scalable, secure, and enterprise-ready AI and Agentic AI architectures. They collaborate with cross-functional teams to bridge the gap between experimentation and production using cloud ecosystems, MLOps tools, and modern AI frameworks.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
The Senior/Lead Data Scientist will design and build agentic AI solutions, including RAG databases and AI agents, to automate data analysis and solve complex business problems. The role requires deep expertise in GenAI, LLMs, and Python, with a focus on deploying scalable analytical solutions on Google Cloud Platform.
The Data Engineer Senior Manager leads the design and delivery of enterprise-scale data and AI solutions, including lakehouse architectures and generative AI applications. This role involves mentoring technical teams, driving digital transformation, and managing client relationships within a global advisory practice.
The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
The Senior Site Reliability Engineer ensures the reliability, performance, and operational health of Rimini Street's Agentic AI ERP platform. The role involves managing Kubernetes infrastructure, AI agents, LLM gateways, and RAG services while driving incident response and automation.
Senior AI/ML Software Engineer on NVIDIA's Enterprise Agentic AI Platform team, designing and deploying LLM-powered agentic applications with RAG and orchestration frameworks to automate workflows across Engineering, Operations, and Manufacturing.
Build and maintain Azure DevOps CI/CD pipelines for 5G NF application deployments, develop AI-assisted pipeline automation using LLMs/MCP servers, and support Kubernetes-based workloads — all within AT&T's Bangalore offshore engineering team.
The AI Engineer will modernize legacy training and compliance platforms by integrating production-grade AI systems, including LLMs, RAG pipelines, and autonomous agents. This role involves working within a .NET/C# stack to build scalable, secure AI-native architectures while driving business impact.
Senior Machine Learning Engineer on the Applied Science Data Frameworks team building foundational infrastructure for large-scale multimodal AI training and inference, working with distributed systems, data engineering fundamentals, and ML infrastructure using technologies like PyTorch, Apache Ray, Spark, and Docker.
Software engineer building Python-based AI/LLM applications, RESTful APIs, and microservices with Docker/Kubernetes CI/CD pipelines at Cisco's Customer Experience engineering organization.
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