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Lead the migration of ML models and agentic solutions to production on GCP and related platforms, ensuring scalability, reliability, and cost efficiency while managing stakeholders and automating monitoring and pipelines.
Build and deploy production-grade AI solutions using LLMs, RAG, and agents, integrating them with enterprise systems to solve real business problems.
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…
Build and deploy AI-powered healthcare tools using LLMs and multi-agent systems to improve senior care access and quality.
Senior security engineer who embeds security into CI/CD pipelines, tunes SAST/SCA tools, and partners with dev teams to find and fix vulnerabilities in large-scale game software.
Lead a team building and modernizing software using AI-assisted tools and agentic workflows (LangGraph, A2A, MCP) while setting technical direction, mentoring developers, and ensuring quality and security.
Nosso time de Revenue Operations & Analytics A área de Revenue Operations & Analytics tem como missão otimizar processos, ferramentas e análises para potencializar a eficiência e a eficácia das áreas de…
Build and optimize AI agents for adtech using LLMs, RAG, and vector databases to enhance contextual ad generation and retrieval.
Build and optimize AI agents for advertising using LLMs, RAG, and vector databases to enhance generative AI capabilities in a hybrid work environment.
Designs and builds scalable data pipelines and platforms for mobile programmatic advertising, processing billions of events daily using big data tech, cloud platforms, and GenAI.
Leads end-to-end GenAI implementation for a Fortune 500 financial-services client, designing architecture, setting security guardrails, and managing delivery from POC to production. Works with AI/ML engineers and client stakeholders to ensure compliant, scalable AI solutions for valuation workflows.
Lead the design and delivery of enterprise Agentic AI systems using RAG, multi-agent orchestration, and retrieval optimization, while mentoring teams and shaping technical strategy for Fortune 500 clients.
Senior engineer builds and deploys enterprise Agentic AI solutions using RAG, multi-agent orchestration, and full-stack development to meet customer needs.
Lead enterprise-scale GenAI projects for Fortune 500 clients, designing and building scalable LLM-powered systems with RAG, agents, and Graph-RAG architectures.
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
Lead enterprise-scale GenAI projects, building Graph-RAG systems that combine LLMs with knowledge graphs for scalable, explainable AI solutions using Python, LangGraph, and cloud platforms.
Lead enterprise-scale GenAI projects, building Graph-RAG systems that combine knowledge graphs with LLMs to deliver scalable, explainable AI solutions for Fortune 500 clients.
Lead enterprise-scale GenAI projects, designing and building production-grade LLM-powered systems with RAG, agents, and vector databases for Fortune 500 clients.
Build and maintain CI/CD pipelines and cloud infrastructure for AI agent applications using Azure DevOps, LangGraph, and Kubernetes on Microsoft Azure.
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, RAG, and cloud tools.
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