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.
Lead a team to design, build, and deploy production-grade AI systems including RAG pipelines, agentic frameworks, and LLM-powered solutions while mentoring engineers and guiding client decisions.
Lead AI teams to design, build, and deploy production-grade RAG, agentic, and LLM-powered systems, while mentoring engineers and guiding clients on pragmatic AI solutions.
Sr. Director, AI Solutions Location: California, India Department: AI Solutions Engineering & Support Experience: 15 Be at the Forefront of the Agentic AI Revolution At Skan AI, we are pioneering the context engine…
You build and deploy production-grade generative AI applications with customers, focusing on agentic workflows, RAG, and LLM integrations using Python and modern AI frameworks.
Designs AI-enabled architectures for mobility and logistics systems, leveraging generative AI, LLMs, and analytics to build scalable, secure solutions and implementation roadmaps.
Build production-grade AI agents in Python using LangGraph/LangChain, orchestrating multi-step reasoning, RAG, and tool use; deploy on cloud stacks with LLMOps and security guardrails.
Lead AI teams to design, build, and deploy production-grade RAG, agentic, and LLM-powered systems with robust evaluation, MLOps, and scalable infrastructure.
Build full-stack AI apps for Micron’s smart factories: ingest sensor data, train models, ship React/FastAPI front-ends, and deploy digital twins in Gazebo/Unity for robotics and predictive maintenance.
Build and deploy full-stack AI applications for semiconductor manufacturing, integrating LLMs, digital twins, and robotics to enable autonomous operations in Micron’s global facilities.
Build and run production-grade LLM systems: deploy self-hosted models, set up GPU-aware inference, CI/CD, monitoring, and evaluation for AI-powered services.
Lead a team building AI agent execution and inference services, defining platform architecture, and integrating LLMs with enterprise systems while ensuring reliability and security.
Design and implement enterprise-scale generative AI and agentic AI systems using Azure OpenAI, RAG pipelines, and MLOps for production deployments.
Design and optimize ML pipelines, LLM serving, and GPU architectures for generative AI solutions using frameworks like PyTorch, Hugging Face, and vLLM.
Lead hands-on engineering role building and deploying production-grade AI applications (copilots, agents, RAG pipelines) for a global asset manager, while coaching a new AI team.
Build and deploy production-grade generative AI systems for Capital Group’s investment process, including RAG pipelines, agents, and copilots, while ensuring responsible AI, security, and cost controls.
Lead the design and deployment of scalable AI/GenAI solutions and petabyte-scale data platforms, from ingestion to production, using cloud, Spark, Databricks, and Snowflake.
Senior QA Automation Engineer responsible for testing AI products, developing and maintaining automation tests, and creating evaluation pipelines for LLM and Computer Vision solutions. Works with data analysis and quality assessment of Generative AI systems at Ipoteka Bank OTP Group.
Designs and advises on scalable, sovereign AI Factory platforms that turn business use cases into production-ready AI architectures, covering data, models, infrastructure, security and operations.
Build and deploy ML/AI models for government clients, focusing on predictive analytics and data-driven decision support using Python, SQL, and frameworks like PyTorch and TensorFlow.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver insights via dashboards.
We couldn't check your fit for this role — add a CV to your profile to see it next time.