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Build and run cloud-native finance AI services in Java/Python on Azure/AWS/GCP, deploying microservices on Kubernetes and integrating LLM/RAG capabilities.
Lead a team to design, build, and integrate AI capabilities—including GenAI, RAG, and Agentic AI—into a finance-focused platform using cloud-native tools and AI frameworks.
Role Overview At Qashio, we're transforming how businesses manage company spending. We are looking for an AI engineer who turns cutting-edge AI into software people can rely on. You care about quality, safety and…
Lead AI Engineer builds and deploys agentic AI systems for go-to-market workflows using Salesforce, Slack, and LLM frameworks like LangChain, driving automation and efficiency in cybersecurity sales operations.
Build and fine-tune large language models for healthcare using proprietary medical datasets, then deploy them into production workflows and agentic AI systems.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Builds and maintains full-stack insurance applications using React, Java/Spring Boot, and Python, with cloud-native deployments on Azure/AWS and DevOps practices.
Lead enterprise Data, AI, and Agentic AI strategy for Johnson & Johnson’s Orthopedics business, defining AI agent roadmaps and an internal AI Experience Marketplace to embed intelligent assistants into daily workflows.
Build and deploy AI systems to optimize NVIDIA’s chip-design toolchain, including LLM-powered validation pipelines and cross-team automation, using Python and deep-learning frameworks.
Build and deploy AI systems to automate and optimize NVIDIA’s chip design and validation workflows, integrating LLMs and agentic tools into silicon development pipelines.
Build and deploy production-grade AI and Generative AI solutions in the cloud using LLMs, RAG pipelines, and Agentic AI workflows for global enterprise clients.
Lead AI delivery for an insurance firm, overseeing GenAI/RAG projects, MLOps, and Python-based model development while coordinating cross-functional teams to deploy production-ready solutions.
Build and deploy enterprise-scale AI systems using LLMs, RAG, and agentic frameworks in Python, turning emerging tech into production-ready solutions that drive measurable business impact.
Lead enterprise AI and data strategy for a healthcare company, defining agentic AI roadmaps, governing AI investments, and building an internal AI Experience Marketplace to embed AI agents into business workflows.
Junior consultant designs, builds, and deploys GenAI and multi-agent systems (copilots, autonomous agents) using Python, cloud platforms, and MLOps/LLMOps pipelines for enterprise clients.
About the Role We are looking for a Senior Software Developer who uses AI tools as a core part of the development process to build high-quality, production-ready software quickly and efficiently. The ideal candidate…
About the Role We are looking for an Applied AI Engineer to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs),…
Senior AI engineer designs and builds reusable AI-powered applications and accelerators using commercial LLMs, RAG, and orchestration frameworks to support internal operations and client projects.
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