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Design and implement enterprise-scale GenAI and Agentic AI solutions using Azure OpenAI, RAG pipelines, and frameworks like AutoGen; lead MLOps/LLMOps and productionize AI applications.
Build and deploy AI-powered Python applications using frameworks like FastAPI and LangChain, integrating LLMs and vector databases for enterprise solutions.
Build and integrate AI-powered features into enterprise insurance systems using C#/.NET, Azure, and LLMs. Day-to-day work spans ML pipelines, API integrations, and production deployment.
Build and deploy production-grade LLM and generative AI solutions, including RAG pipelines and AI agents, using Python, cloud-native tools, and frameworks like LangChain and AWS Bedrock.
Design and build AI agents and automation workflows in Python and Microsoft Azure to streamline legal and business operations, integrating with Power Platform and third-party tools.
Principal Technical Product Marketing Manager, AI Solutions Description - HP is seeking a Principal Technical Product Marketing Manager to help define, position, and accelerate adoption of its AI portfolio, including…
Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living…
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. We are building cutting-edge solutions in AI-driven financial technology as part of AI Markets , an award-winning…
Consultant designs and delivers Azure-based data and AI solutions for enterprise clients, building ETL pipelines, ML models, and GenAI workflows while aligning with Microsoft’s cloud strategy.
Builds and maintains AI-powered healthcare platforms using Python, Next.js, and Azure, focusing on document processing and clinical review workflows.
Design and deploy production-grade GenAI and AI agent systems for enterprise clients, focusing on RAG, intelligent assistants, and scalable AI workflows using Python, cloud platforms, and modern MLOps practices.
Lead a team building enterprise-grade full-stack apps in Java/Spring and React while designing Generative AI solutions using frameworks like LangChain and RAG.
Build full-stack and single-page TypeScript apps using React, Next.js, and AI tools; own architecture and mentor peers while shipping flagship products.
Principal Software Developer building agentic AI systems for healthcare, including LLMs, RAG, and workflow automation, while designing scalable cloud-native services and APIs.
Build and optimize a high-load financial LLM system using Python, LangGraph, FastAPI, and Elasticsearch to power Ask Seeking Alpha.
Build and scale a Python-based backend and AI platform, designing LLM agents, RAG pipelines, and real-time session analytics for an AI-driven product.
Build production-grade AI apps using LLMs, RAG, and Agentic AI on AWS; develop secure Python services, containerized microservices, and Kubernetes deployments for public-sector initiatives.
Build and deploy scalable LLM-powered backend systems using Python, FastAPI, and vector databases; implement MLOps pipelines, RAG architectures, and observability for GenAI applications.
Build and scale an AI-powered backend platform using Python, FastAPI, and LLM systems to deliver real-time analytics and predictions for enterprise clients, primarily in healthcare.
Lead the architecture of AI-driven Trust & Safety systems at Grab, building data pipelines, vector databases, and multi-agent orchestration to detect fraud and abuse while ensuring secure, reliable AI agent operations.
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