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Build and ship AI-powered features end-to-end for a UK security-training platform, from LLM prototypes to production code, owning discovery through iteration.
Build production-grade full-stack software that integrates with agentic AI systems, using AI tools daily to accelerate development and ship client projects across industries.
Build and maintain SOAR playbooks and Python automations that integrate security tools like SIEM and EDR, using AI-assisted coding to turn manual analyst tasks into reliable, auditable workflows.
Lead the design and scaling of SS&C’s enterprise AI agent platform, integrating MCP, multi-agent orchestration, and LLM workflows for financial services and healthcare clients.
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Design and deliver Generative AI and AI-enabled solutions for workplace financial tools, using LLMs, RAG, vector databases, and APIs to automate workflows and integrate data.
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, focusing on RAG, agents, and MLOps in a regulated financial environment.
Sobre a Accenture A Accenture ajuda as principais empresas do mundo a se reinventarem, construindo seu núcleo digital e liberando o poder da IA para gerar valor com rapidez em organizações de todos os setores. Nossa…
Design and deploy AI agents that integrate with investment workflows to enhance research, portfolio construction, and risk analysis for an asset-management firm.
Build and deploy ML models to predict customer churn and personalize marketing at Verizon, using Python, SQL, and cloud tools like GCP/AWS.
Build and integrate AI agents, RAG, and SLMs into production systems using LangChain, LangGraph, and containerized workflows.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Build and deploy LLM-powered assistants, RAG apps, and AI agents on enterprise platforms like ChatGPT Enterprise and AWS Bedrock, using Python, TypeScript, React, and cloud-native tooling.
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Build and maintain secure, AI-powered tools for application security at a major bank, using Python, REST APIs, and cloud platforms to automate security processes and mentor teams.
Summary Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first…
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.
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 production-grade generative AI systems with Google Cloud partners, transitioning prototypes into scalable agentic workflows using Python, RAG, and Vertex AI.
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