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.
The Principal Data Engineer will lead the design and architecture of cloud-based data pipelines and AI-enhanced data solutions using Java, Snowflake, Databricks, and AWS. The role involves mentoring engineers, driving platform modernization, and integrating Agentic AI frameworks into data workflows.
This full-stack software engineer role involves building end-to-end services using Node.js, TypeScript, and React, with a focus on integrating LLMs, agentic workflows, and Model Context Protocol (MCP). The position is based in Barcelona and requires working with cloud infrastructure like AWS, Kubernetes, and Docker.
An Agentic AI Engineer on a 6-month contract building LLM-powered applications with Knowledge Graphs, GraphRAG, and AI agents using Python and Neo4j.
Cloud-Native Solutions Architect designing and leading cloud-native application architectures, driving modernization to microservices/serverless, and integrating AI/LLM capabilities for a Belgian digital consultancy's client projects.
This role involves designing and deploying AI-powered applications, including agents, copilots, and RAG solutions, using frameworks like LangChain and Python. The engineer will integrate these AI systems into enterprise environments and contribute to best practices for AI development.
What we’re looking for Great AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed…
AI Solutions Architect defining and delivering AI testing offerings at Testlio, designing evaluation approaches for LLMs, agentic systems, and RAG architectures that combine automated and human-in-the-loop validation.
Designs and maintains AI-driven security automation pipelines, integrating SOAR tools with SIEM and AI systems to triage and respond to threats at machine speed.
Designs and maintains AI-driven security automation pipelines, integrating SOAR tools with SIEM and AI systems to triage and respond to threats with minimal human input.
Builds and deploys AI-driven agentic platforms for enterprise clients, integrating LLM agents with existing systems using Python, Kubernetes, and modern AI frameworks.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions…
Build and deploy enterprise-grade AI agent systems using Databricks, MCP, and Anthropic Claude, integrating multi-agent frameworks with complex data estates for regulated industries.
Build and scale ML systems, MLOps, and agentic AI workflows for a leading Thai food platform, integrating models into production via APIs and microservices.
Senior AI Engineer building AI agent solutions for risk management and payment processing at Airwallex, using Python, ML frameworks (PyTorch/JAX), and agentic frameworks like LangChain and LlamaIndex.
Build and deploy enterprise-grade Agentic AI systems, LLMs, and Generative AI solutions for autonomous workflows in investment banking and global markets.
Designs and scales AI-native systems (LLMs, agentic workflows) as a senior architect, defining architecture standards and leading technical delivery for healthcare clients.
Develops a GenAI-powered internal strategy digitization platform, building backend APIs, LLM/RAG pipelines, and vector/graph DB integrations to process corporate docs and track initiatives. Bridges AI and full-stack tech to prototype and scale product features.
Build and scale an internal AI assistant and agentic AI workflows that automate commercial operations at a luxury beauty omnichannel retailer, using LLMs, LangChain/AutoGen, Python, RAG, and REST API integrations.
Senior Python Data and AI Engineer at Citi Pune, building and optimizing ETL pipelines, data warehouses, and agentic AI systems using Python, SQL, and frameworks like LangChain/LangGraph with LLMs.
The Generative AI Architect-Manager leads the design and development of enterprise-grade AI solutions, focusing on scaling agentic AI, RAG architectures, and secure deployment. This role involves managing project delivery, mentoring teams, and collaborating with clients to implement advanced data and AI strategies.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
