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Build and deploy AI agents for healthcare using Python, LangChain, and RAG; integrate with EHRs and monitor production systems to ensure reliable, clinical-grade AI operations.
Build and scale AI platform services like LLM gateways, MCP servers, and agent orchestration frameworks for Tekion’s cloud-native automotive platform.
Owns and improves OKX’s conversational AI chatbot and agent systems, defining quality frameworks, evaluation harnesses, and knowledge bases to boost resolution rates and reliability.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Senior AI Product Engineer builds and maintains a multiplatform AI-powered document system, shipping end-to-end features with React, Node.js, PostgreSQL, and agentic AI workflows using LangGraph and MCP.
Build AI-driven agentic workflows and data products to automate logistics processes using LLMs, RAG, and Azure cloud services.
Build and enhance the LangSmith platform’s frontend using React and TypeScript, creating reusable components and optimizing performance for LLM application observability and debugging.
Build AI-powered analytics systems that turn GM’s telematics, aftersales, and energy data into natural-language answers for business decisions, using Python, SQL, and cloud platforms.
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…
MLOps/DevOps engineer maintains production ML/AI serving infrastructure, deploys models, monitors GPU costs, and optimizes cloud resources for an ad-tech company.
Senior full-stack engineer building AI-powered healthcare features to guide members to optimal care and medications using Node.js, React, and modern AI/ML tools.
Lead enterprise AI programs for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of Applied AI Engineers.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowflake’s Cortex, Snowpark, and native LLM capabilities, owning the full lifecycle from prototype to production.
Build and own AI agent infrastructure and automation systems that connect LLMs to internal tools and data, enabling self-service workflows for marketing and sales teams using Python, JavaScript, and GCP serverless services.
Lead the design and deployment of AI agents on Snowflake Cortex, building scalable data pipelines and semantic layers to power intelligent experiences for Material Bank’s global material marketplace.
Predictive & Agentic AI Engineer Position Overview: Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI…
Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using LLMs, RAG, and vector databases.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Designs and runs evaluation frameworks for enterprise AI systems, including LLMs and RAG, to ensure accuracy, reliability, and compliance before production deployment.
Build and orchestrate autonomous AI agents that reason, plan, and execute workflows using Hermes Agent and MCP, integrating tools and memory systems for production-grade applications.
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