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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.
Own the vision for Airbnb’s next-generation search, blending AI-powered natural language and ranking to help guests find the perfect stay faster and more intuitively.
Build and optimize core search and retrieval infrastructure for Pinecone's vector database, enabling scalable, high-quality AI applications with semantic and hybrid search, indexing pipelines, and retrieval orchestration.
Mid-level Security Engineer to run bug bounty programs, triage vulnerabilities in Rust/Go/Python code, harden GitHub and cloud security, and automate security controls for a remote-first AI vector search engine company.
Designs and leads the AI-driven architecture for a security operations platform, integrating threat intelligence, agentic AI, and governed decisioning to modernize enterprise security workflows.
Design and teach a next-gen data platform for a fintech SaaS that unifies due-diligence data from 150+ countries, migrating from SQL Server to PostgreSQL and adding AI-native features like vector search and semantic matching.
Leads enterprise-wide AI architecture strategy, governance, standards, and adoption roadmap for Smith+Nephew. Works with Generative AI, LLMs, RAG, vector databases, MCP, A2A, and cloud AI platforms like Azure/OpenAI to define enterprise AI standards and integrate with ERP/CRM systems.
Build and deploy AI systems for construction tech: autonomous agents, multilingual speech pipelines, RAG for document search, and GPU-optimized model serving.
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Principal Engineer leading the AI-powered search and personalization stack for Salesforce’s AgentExchange marketplace, building GenAI-driven discovery, multi-turn agentic search, and real-time ranking systems.
Build and operate AI-driven Digital Twin systems for electric vehicles, using Python, OpenModelica, and LLM tooling to simulate, test, and validate vehicle controls and infotainment before hardware is available.
Hinshaw & Culbertson LLP is a national law firm with over 500 attorneys across the United States. Founded in 1934 and headquartered in Chicago, we provide sophisticated legal counsel to clients in highly regulated…
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build and maintain full-stack enterprise apps using React, FastAPI, Python, and AWS, integrating AI/ML features and DevOps practices for a biotech company.
Develops AI-driven automation solutions using RPA tools (e.g., WorkFusion) and agentic AI frameworks (LangChain, LangGraph) to build workflows, RAG systems, and document intelligence for HPE’s IT services.
Builds AI agents and RPA automations using WorkFusion, LangChain, and vector databases to orchestrate document intelligence and enterprise workflows.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Lead the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases using Python, AWS, and enterprise-authored AI tools.
Design and operate Capital Group’s enterprise AI platform, building scalable vector databases, RAG pipelines, agent frameworks, and AI Gateways to securely deploy generative AI and agentic solutions across the firm.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will lead the…
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