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Design and deploy enterprise AI solutions on Red Hat OpenShift AI, including GenAI, agentic AI, and MLOps workflows, while advising customers and leading project teams.
Designs scalable data models and storage for applications using Databricks, Azure SQL, and AI services, ensuring efficient integration and governance.
Design and model scalable data architectures using Databricks, Azure SQL, and Cosmos DB to support AI-driven applications and data pipelines.
Build autonomous AI agents using LangChain, LangGraph, and AutoGen, integrating RAG, knowledge graphs, and fine-tuned SLMs for edge deployment.
Builds and deploys LLM-powered agentic workflows for network troubleshooting using LangGraph, MCP servers, and Kubernetes, focusing on reasoning pipelines, tool integration, and production-scale AI systems.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
Build full-stack features and internal AI tools for a freight-tech startup, using TypeScript/React and LLM APIs to ship production code and agentic workflows.
Build and maintain Visa’s large-scale Hadoop and cloud-based big-data platforms, write Python/Java services, and integrate Generative AI to automate operations and improve system reliability.
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that…
Builds and scales AI-powered threat detection systems to protect Snowflake’s cloud-scale environment, combining security expertise with engineering to design, deploy, and refine detections using automation, ML, and data-driven analysis.
Build AI-powered products using Agentic AI, LLMs, and frameworks like Loop Harness and LangGraph in a hybrid London role.
Build and deploy enterprise generative AI apps using Azure OpenAI, LangChain, and RAG pipelines; integrate LLMs into microservices and agent workflows.
Build and scale AI-powered agent systems and backend services for a climate-focused SaaS platform using Python, Django, and AWS, with LLM frameworks like LangGraph and LangChain.
Architect and build DigitalOcean’s AI-native enterprise platform, defining standards for agentic systems, orchestration, and governance while integrating with core business tools like Salesforce and Workday.
Design and implement enterprise-scale data architectures and generative AI solutions, leading teams to build cloud-native lakehouses, real-time pipelines, and autonomous AI systems for Fortune 2000 clients.
Build and deploy production-grade AI agents for financial-services customers, integrating Google’s GenAI stack with enterprise systems and driving ROI through bespoke agentic workflows.
Designs scalable, event-driven IT systems and AI workflows, modeling business processes and data structures while collaborating with dev teams on microservices and API integrations.
Lead a DevOps team to build and secure a multi-region Kubernetes platform for a crypto-compliance company, using GitOps, service meshes, and zero-trust security.
Build and deploy full-stack AI applications for enterprise clients using Google's AI stack, including Gemini models, Vertex AI, and agentic systems, from frontend to production deployment.
Build full-stack .NET applications with Angular/React, AWS, and modern cloud tech, owning features from design to deployment while integrating AI-powered solutions.
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