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Sr. GenAI Engineer (FS/BE)
Senior engineer building enterprise-scale GenAI apps using LLMs, RAG, and agent frameworks; designs backend services and integrates AI into Fortune 500 systems.
AI Engineer with DataScience
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.
Principal GenAI Engineer
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.
Principal GenAI Engineer
Lead enterprise-scale GenAI projects, designing and building production-grade LLM-powered systems with RAG, agents, and vector databases for Fortune 500 clients.
Azure DevOps Engineer(LangGraph)
Build and maintain CI/CD pipelines and cloud infrastructure for AI agent applications using Azure DevOps, LangGraph, and Kubernetes on Microsoft Azure.
AI Software Engineer
Build and deploy AI agents using Python and libraries like LangChain, LangGraph, and AutoGen for enterprise clients.
AI Engineer
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, RAG, and cloud tools.
Backend Engineer (US)
Builds scalable backend systems and integrates AI-powered features for an edtech platform that supports students' writing workflows, including plagiarism and AI-content detection.
Intermediate AI Engineer (ID#5469)
Build and deploy enterprise AI apps, agentic workflows, and RAG systems using LLMs and cloud services; collaborate with engineers and stakeholders to deliver secure, production-ready solutions.
AI/ML Architect-Accenture Advanced Technology Centers
Design and deploy production-grade AI agents and LLM systems using cloud-native tools (Bedrock, Azure AI Foundry, Vertex AI) and open-source frameworks (LangGraph, CrewAI).
ML Software Engineer, Safety and Customer Care AI
Build and fine-tune open-source LLMs for safety and customer-care agents, then ship them into production with robust evaluation and guardrails to handle millions of real-time support interactions.
AI/ML Architect-Accenture Advanced Technology Centers
Design and deploy enterprise-grade AI agents and ML systems using cloud-native tools (Azure AI Foundry, AWS Bedrock, Google Vertex) and open-source frameworks, ensuring reliability in regulated environments.
Senior Lead AI Application Engineer (Global Security)
Lead the design and delivery of secure, cloud-native AI agent systems and full-stack microservices that automate risk/security controls and integrate with RBC’s pipelines and regulated environments.
Java developer
Builds and deploys Java-based backend services using Spring Boot, REST APIs, and microservices, with AI integration and cloud deployment on Azure/AWS/GCP.
Lead Software Engineer - AI for Risk Technology
Lead a team building enterprise-scale generative AI and multi-agent systems for risk analytics at JPMorgan Chase, focusing on natural language querying of financial data using Python, AWS, and LangGraph.
Principal AI Data Engineer
Principal AI Data Engineer builds and deploys GenAI, RAG and Agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Principal Architect
Principal Architect defines and enforces AI-native architecture standards, ensuring a secure, scalable Decision Intelligence Platform that meets enterprise-grade regulatory requirements like FINRA/SEC.
Senior Software Engineer - Agentic AI - Python Expert
Build and ship production-grade agentic AI systems in Python, integrating LLMs with tools, memory, and multi-agent workflows on Azure AI Foundry for real customer use cases.
Staff Data Engineer
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.
Pessoa desenvolvedora backend pleno
Desenvolve APIs e serviços backend em Java (Spring Boot/Micronaut) para uma healthtech, integrando agentes e modelos de IA com bancos de dados relacionais e NoSQL.