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.
Design and deploy enterprise-scale AI solutions using LLMs, RAG, and Agentic AI to improve reporting, forecasting, and business intelligence in a hybrid London role.
Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
What happens when an AI or automation solution is already in production—but something goes wrong? We're looking for a Support Engineer – AI & Automation to help keep ATI's AI, LLM, and RPA solutions running…
Design and build enterprise-scale Generative AI systems using LLMs, RAG, and vector databases; lead cross-functional teams to deploy models like GPT-4 and Llama3 on AWS/Azure.
Design and deploy production-grade AI systems for clients, owning end-to-end architectures, prototypes, and technical standards while guiding engineering teams and advising on LLM stacks and cloud platforms.
Lead the end-to-end development of AI-powered commercial and medical products for oncology, including GenAI tools and predictive models, to drive measurable field adoption and patient outcomes.
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
Builds and deploys LLM-powered tools that turn investment research and portfolio strategies into scalable AI solutions for portfolio managers and analysts.
Builds enterprise-grade Generative AI systems using agentic architectures, RAG, and cloud platforms in Python/C#/Java, ensuring security, compliance, and scalability.
Build and optimize AI systems for customer service automation, using prompt engineering, RAG, and agentic workflows to improve real-time interactions at scale.
Build and deploy agentic AI systems—multi-agent workflows, RAG, knowledge graphs, and context engineering—on top of hosted foundation models to automate enterprise controls and improve operational efficiency.
Builds and shares tutorials, workshops, and code samples to teach developers how to integrate AWS generative AI tools like Amazon Q and Bedrock into their workflows.
Design and deploy generative AI and agentic systems for AWS customers, leveraging LLMs, RAG, and multi-agent frameworks while creating technical content to drive adoption.
Build and deploy AI systems using LLMs, RAG pipelines, and agent frameworks like LangChain and Hugging Face, then run them on cloud platforms such as AWS or Azure.
Sr Manager, Forward Deployment Engineer Location: Bellevue, Washington Time Type: Full time Job Description At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give…
Build and deploy AI-powered features for a SaaS platform serving the automotive industry, integrating LLMs and cloud AI services into production applications.
Build and deploy generative AI systems using LLMs, RAG, and agentic workflows; fine-tune models and evaluate performance for Qualcomm’s core AI products.
Designs and builds scalable AI systems, focusing on RAG pipelines and agentic workflows using frameworks like LlamaIndex, LangChain, AutoGen, or SemanticKernel.
Senior AI Engineer (with Python) Senior AI Engineer (Python): Build production-grade AI apps, integrate LLMs, design RAG pipelines, and ship scalable, observable AI services with clean Python. About the role We are…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
