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Develop and deploy ML/DL models and generative AI systems (RAG, agentic AI) for an automotive client in Pune, using Python and Azure OpenAI in an Agile, cross-functional team.
Full-Stack Engineer placed at an HR/Payroll multinational in Barcelona (hybrid), building with Node.js/TypeScript and React while integrating LLMs, MCP, and agentic workflows, deployed on AWS with Kubernetes and Docker.
Develop backend services and REST APIs in Python/FastAPI, integrate enterprise systems with AWS, and build modern frontend apps while maintaining CI/CD pipelines in a healthcare-focused team.
Design and implement marketing technology, automation, integrations, and internal tools across SaaS, including lead scoring, campaign execution, and asset maintenance using Marketo, Salesforce, Adobe, REST APIs, and MCP-based agentic workflows.
The Senior Network Engineer will design, support, and maintain network infrastructure including WAN, LAN, routers, and firewalls while managing Microsoft and VMware environments. The role involves coordinating with vendors, delivering projects on time, and providing high-level technical support.
Lead a team to design and deliver scalable data platforms and pipelines in Java/Python, ensuring reliable, secure, and governed data products for analytics, search, and AI workflows in a regulated enterprise environment.
Lead the design and delivery of Mastercard’s next-gen payment platforms, setting engineering standards, modernizing systems, and driving adoption of AI-powered development practices.
Designs and maintains secure, scalable hybrid cloud infrastructure for a digital bank, focusing on GitOps-driven CI/CD pipelines, DevSecOps automation, and SRE practices to support developer self-service and regulatory compliance.
Build and maintain backend services that power AI agents and retrieval systems for a B2B SaaS that serves restaurants across Latin America, using Ruby, Python, PostgreSQL, and vector databases.
Build and own full-stack agentic data platforms using LLMs (Claude Code, RAG, agents) and modern data engineering tools (Spark, Kafka, Airflow, Snowflake, AWS) within JPMorganChase's Asset & Wealth Management division.
Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and…
Senior AI Engineer/Architect at a large engineering services firm, designing and implementing AI solutions (LLMs, RAG, agents) for clients—covering strategy consulting, PoC development, scalable architecture, and MLOps governance.
Agentic AI Engineer Position ID: P946333 Location: Hangzhou, China Employment Type: Full-time Role Summary We are seeking an experienced Agentic AI Engineer to design, build, and evolve enterprise-grade Agentic AI…
The Senior Site Reliability Engineer ensures the reliability, performance, and operational health of Rimini Street's Agentic AI ERP platform. The role involves managing Kubernetes infrastructure, AI agents, LLM gateways, and RAG services while driving incident response and automation.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
Senior AI/ML Software Engineer on NVIDIA's Enterprise Agentic AI Platform team, designing and deploying LLM-powered agentic applications with RAG and orchestration frameworks to automate workflows across Engineering, Operations, and Manufacturing.
Build and maintain Azure DevOps CI/CD pipelines for 5G NF application deployments, develop AI-assisted pipeline automation using LLMs/MCP servers, and support Kubernetes-based workloads — all within AT&T's Bangalore offshore engineering team.
The Senior AI Engineer will design and deploy production-grade autonomous agents and multi-agent systems for financial institutions using Python, LLMs, and AWS. The role focuses on building reusable agent architectures, integrating enterprise tools, and implementing MLOps practices for long-running AI workflows.
The AI Engineer will build and deploy end-to-end GenAI agents for the Pipes digital marketing platform, integrating ad platform APIs with C#/.NET and React. The role involves prompt engineering, agent development using Microsoft's Agent Framework, and collaborating with test engineers to ensure high-quality production releases.
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members…
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