Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and deploy AI solutions for a medical spa, focusing on customer insights, marketing, and business reporting using Python, LLMs, and cloud services.
Senior AI Engineer builds and maintains production AI systems, RAG pipelines, and data infrastructure for financial products, deploying on AWS and ensuring reliability at scale.
Senior AI Engineer at American Express in Bengaluru designing and shipping LLM-powered and agentic features for financial services using Python, Go, and cloud platforms.
Designs, builds, and scales enterprise-grade generative AI applications using LLMs, RAG, and Agentic AI on Microsoft Azure, integrating multiple data sources and ensuring reliability and governance.
Build and lead agentic AI systems for American Express’s servicing platforms, designing autonomous workflows, LLM orchestration, and evaluation tooling in Python/Go/TypeScript on AWS/GCP.
Develops and maintains LLM-powered, agentic AI workflows for American Express’s enterprise platforms, focusing on RAG pipelines, tool orchestration, and production-grade AI systems with strict financial/regulatory compliance.
AI Consultant identifies enterprise GenAI/LLM/agentic AI use cases, assesses feasibility and business value, and crafts roadmaps to scale AI initiatives for measurable impact.
Outside Sales Product Specialist - Data Management At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of…
Senior Manager Generative AI Architect at PwC Bangalore, designing and implementing enterprise Agentic AI frameworks, RAG architectures, and multi-agent systems while leading client engagements across cloud AI platforms.
Build and maintain Python applications, AI agents, and internal productivity platforms for OCBC Bank in Shenzhen, leveraging AI-assisted development tools like Claude Code and Devin across the full-stack (Python back-end with FastAPI/Django, React/Vue front-end, Docker/Kubernetes).
Senior IC role architecting and building production-grade ML, generative AI, and agentic AI systems (LLMs, RAG, SLMs) with MLOps practices for commercial pharma use cases in Bangalore.
Hands-on Lead AI Engineer building production-grade AI/GenAI features and cloud-native microservices for client delivery in an IT services firm, using Python/.NET/Java/Node.js, GenAI APIs, LangChain, RAG, and AWS/Azure/GCP with Docker and Kubernetes.
The Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
The Machine Learning Engineer will design, develop, and deploy production-grade AI solutions with a focus on geospatial applications. The role involves architecting scalable ML systems, implementing MLOps best practices, and mentoring team members using Python, PyTorch, and containerization tools.
The AI Engineer will lead the design and deployment of production-grade machine learning solutions, specifically focusing on geospatial applications. The role involves architecting scalable systems, implementing MLOps practices, and mentoring team members using technologies like Python, PyTorch, and Docker.
The AI Architect will lead the design and implementation of enterprise-scale AI and Generative AI solutions, serving as the technical authority for AI initiatives. The role involves defining architecture roadmaps, establishing governance standards, and mentoring teams using technologies like LLMs, RAG, cloud platforms, and MLOps.
The AI Engineer will design, develop, and deploy AI-powered enterprise solutions using machine learning, Generative AI, LLMs, and RAG architectures. The role involves building scalable AI applications, optimizing models, and integrating them into cloud-based microservices architectures.
AI & Data Science Consultant/Engineer building Generative AI and Agentic AI solutions, performing data science analytics, and providing client consulting and pre-sales support using Python, LLMs, RAG, and enterprise AI platforms.
This role involves driving data-driven growth strategies for American Express's Global Commercial Card business by leveraging analytics, machine learning, and Generative AI. The analyst will translate complex data into actionable insights to influence cross-functional stakeholders and support customer acquisition initiatives.
The Principal AI Engineer will design, build, and deploy enterprise-grade generative and agentic AI solutions within a media environment. The role involves full-stack development, system architecture, and production-level management of AI applications using GCP and Azure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.