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 automate cloud infrastructure for AI/ML models and agents, deploying scalable pipelines on AWS/GCP/Azure with Kubernetes, CI/CD, and observability tools.
Owns AI/agentic product development from concept to launch, driving roadmaps, requirements, and stakeholder alignment for multi-team delivery of AI-powered solutions.
Build and lead AI solutions using LLMs, RAG, and agents; design scalable pipelines and mentor junior data scientists in a hybrid role.
Builds and deploys AI/ML systems (classical models, LLMs, agentic workflows) in production using Databricks, Azure ML, and Kubernetes, with a focus on forecasting, prompt engineering, and observability.
Lead a team building autonomous AI agents and LLM applications using frameworks like LangChain and LangGraph, integrating them with enterprise systems and optimizing performance for client projects.
Build and deploy generative AI solutions and AI agents using Python, LLMs, and AWS for a U.S. insurance client, integrating APIs and cloud services.
We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER . We deliver to our…
ALM Services Technology Group develops end–to–end Web and Mobile Solutions. We work closely with customers usually in long term relations. Our mission is to create the best possible environment of work for our people ,…
We are looking for a highly experienced Senior Data Scientist to lead the design, development, and implementation of advanced Artificial Intelligence, Generative AI, and Machine Learning solutions . The successful…
Build and extend AI-driven marketing workflows and interfaces using TypeScript, React, Next.js, and Python; own multi-tenant features, streaming UIs, and LLM orchestration in a product that powers enterprise martech.
Build and deploy a GenAI platform and AI agents for healthcare, legal, tax, and compliance, using TypeScript, Python, LangChain, and cloud services to enable faster, safer decision-making at scale.
Design and build scalable Python backends with FastAPI, integrate AI workflows using LangChain/LangGraph, and create interactive Streamlit apps while mentoring teams and advising clients.
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.
Design and build AI-powered data architecture and agents for enterprise analytics, using Python, Snowflake, DBT, and LLM frameworks to deliver trusted, scalable data products.
Build, test, and deploy AI agents and tools using Python, LangGraph, and cloud-native services like Azure, while contributing to reusable libraries and scalable AI products.
Build and maintain an enterprise-scale data platform that powers AI agents, knowledge bases, and RAG systems using Python, GCP, and vector databases.
Build and scale AI agents and bots that automate business processes, integrating them with cloud APIs and internal systems using Python and AWS.
Build production-ready AI systems (RAG, chatbots, document extraction) using Python, LangChain, and Azure AI services for fintech clients.
Build and evolve production-grade LLM agents for a regulated fintech, focusing on autonomous workflows, RAG, and continuous evaluation in a CVM/LGPD environment.
We couldn't check your fit for this role — add a CV to your profile to see it next time.