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.
Senior DevOps Engineer building and scaling cloud-native infrastructure, Kubernetes clusters, and AI serving platforms using IaC, GitOps, and observability tools.
Lead the architecture of AI and data platforms, defining scalable GenAI/Agentic AI systems and Lakehouse data pipelines on Azure while enforcing governance and mentoring teams.
Build and maintain automated MLOps pipelines on Azure for ML model lifecycle management, data pipelines, and CI/CD, ensuring reliability and scalability.
Lead the 0-1 build of an AI-native data infrastructure platform, defining architecture, hiring the team, and shipping production-grade ML/GenAI systems that power core platform capabilities.
Lead end-to-end AI and full-stack projects on Google Cloud, designing scalable systems, enforcing standards, and mentoring teams while integrating AI-assisted development tools.
Lead the design and deployment of production-grade GenAI systems on Azure, setting engineering standards and guiding teams to build scalable, secure AI solutions.
Design enterprise-grade AI and generative-AI architectures on AWS/Azure/GCP, translating business goals into scalable, secure cloud solutions that integrate LLMs, RAG, MLOps and responsible-AI practices.
Senior software engineer building AI solutions in Python/.NET, integrating LLMs, RAG, and MCP with cloud and vector databases to enable scalable, responsible AI across the company.
Build AI-powered contact-center and agentic workflows using AWS, LangGraph, and vector databases, deploying scalable GenAI solutions for fintech customer engagement.
Build and maintain AI-powered applications, including conversational assistants, RAG systems, and LLM integrations, using Java/SpringBoot and modern cloud practices in a DevSecOps environment.
Builds and deploys AI/ML models from prototype to production, focusing on MLOps pipelines, model monitoring, and scalable infrastructure for public-sector and energy clients using PyTorch, TensorFlow, and cloud platforms like AWS SageMaker.
Builds and maintains a full-stack web app and integrates enterprise AI solutions using LLMs, RAG, and agentic frameworks in AWS.
Build and deploy AI/ML models and RAG systems in AWS GovCloud for secure government workflows, using Python and FedRAMP-authorized services while ensuring compliance and Zero Trust security.
Build and scale LLM-powered analytics features for healthcare data, including RAG, text-to-SQL, and agent workflows on AWS and Snowflake.
Job Summary PwC Ireland – Bring Your Talent, Grow Your Skills, Unlock Your Potential Our Data & AI Consulting team leverages technology to solve complex business problems for clients across financial services,…
Lead AI engineering and architecture for financial-services clients, designing GenAI and multi-agent systems, deploying RAG pipelines, and aligning solutions with EU regulations and enterprise standards.
Build and deploy enterprise-grade AI systems for clients, leading from prototype to production with LLMs, RAG, agents, and MLOps in regulated environments.
Senior AI engineer embeds and deploys enterprise-grade AI systems for clients, building LLM/RAG pipelines, agents, and ML models while navigating compliance and legacy systems.
About the Company Blackstraw.ai is an end-to-end technology services company specializing in Artificial Intelligence (AI) and Engineering solutions across Data Science, Data Engineering, LLM/GenAI and LLMOps. Founded…
Builds and deploys large-scale AI systems for ZoomInfo’s data platform, including recommendation engines, NLP models, and agentic workflows using LLMs, vector search, and MLOps pipelines.
We couldn't check your fit for this role — add a CV to your profile to see it next time.