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Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Build and operate cloud-native AI/ML platform services at BMO as a new graduate, focusing on Infrastructure as Code, CI/CD pipelines, and scaling AI infrastructure using Azure/AWS/GCP.
Designs and leads secure, scalable Gen AI applications across frontend, backend, cloud, and agentic AI layers, setting architecture direction, mentoring teams, and ensuring production-ready solutions using RAG, LLMOps, and multi-cloud platforms.
Full Stack Developer on a 12-month contract who builds end-to-end web applications and integrates AI/GenAI capabilities (RAG, LLMs, chatbots) into enterprise solutions, using modern JS/TS frontends, Node.js/Python/Go backends, and cloud platforms, while leveraging AI-assisted coding tools daily.
Senior Forward Deployed Software Engineer on ServiceNow's Applied AI team, building LLM-enabled enterprise applications end-to-end (backend, frontend, APIs, orchestration pipelines) directly with strategic customers in agile sprints.
Designs, builds, and deploys enterprise-scale AI solutions including GenAI agents, RAG pipelines, and LLM-driven workflows using Azure AI services, while ensuring scalability, security, and Responsible AI compliance.
The Data Scientist will develop machine learning, generative AI, and agentic AI solutions to solve complex business challenges at Manulife. The role involves analyzing large datasets, building AI-enabled models, and collaborating with cross-functional teams to drive strategic decision-making.
Full Stack AI Application Engineer at FPT Software in Singapore, responsible for hardening AI prototypes into production-grade solutions using React, TypeScript, Node.js, Python, and Azure AI services.
The Senior Generative AI Engineer will design and deploy enterprise-grade AI solutions and intelligent agents using LLMs, RAG, and Azure cloud technologies. This role involves building scalable microservices and implementing MLOps practices within a professional enterprise environment.
AI Architect serving as enterprise design authority for AI architecture at a real estate firm, defining reference architectures, platform standards, and roadmaps focused on GenAI, LLMs, RAG, AI agents, and MLOps/LLMOps across cloud and on-prem environments.
The Senior AI Application Developer will design, build, and deploy production-grade AI applications, including agentic systems and RAG pipelines, to support manufacturing operations. The role involves full-stack development using Python, C#/.NET, and TypeScript while implementing LLMOps practices and enterprise-grade AI governance.
Design and build agentic AI solutions—LLM-powered agents, RAG pipelines, and workflow automation—integrated with CRM/PMS systems for a property portfolio platform, using Python/C#/TypeScript, vector databases, and frameworks like LangChain or Semantic Kernel.
Role Mission Own the translation of business problems into production-ready LLM applications. This role designs the application logic around the model: prompt architecture, context management, tool calling, RAG…
AI Engineer designing and deploying AI/ML solutions on Azure (Azure ML, Cognitive Services, Synapse) to optimize tax, audit, and advisory workflows at a large CPA and advisory firm.
Builds and deploys AI-powered solutions for enterprise customers, embedding with teams to design scalable LLM applications, APIs, and UIs while codifying reusable patterns for ServiceNow’s AI platform.
Principal Architect designs and leads Azure-based data platforms and modernization programs, guiding teams to build scalable, AI-enabled solutions while mentoring architects and promoting engineering best practices.
Build and ship full stack web apps using modern JavaScript/TypeScript and backend stacks, while integrating AI features and leveraging AI coding assistants daily.
This senior fullstack role involves building and scaling web applications and production-grade LLM/RAG solutions using Node.js and Vue.js. The developer will own end-to-end architecture, including API design, RAG pipeline development, and AI workflow orchestration.
Who We Are: Founded in 1994, Integrated Medical Systems, Inc. (IMS) is one of the nation’s leading distributors serving the alternate-site healthcare market. We build valued partnerships with our customers by providing…
A forward-deployed engineer building scalable, multi-tenant Java/Spring Boot microservices on Azure, integrating LLM-based AI capabilities (RAG, agents) via frameworks like LangGraph, CrewAI, and Semantic Kernel.
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