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 AI/ML Data Scientist - VP Location: Mississauga, Ontario, Canada Employment Type: Regular About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than…
Lead AI/ML Data Scientist- Vice president Location: Chennai, Tamil Nadu, India Employment Type: Regular About the Team: Citi is looking for a Lead AI/ML Data Scientist to join the Olympus Data Reconciliation and…
GenAI Engineering and Transformation Senior Manager Location: Tampa, Florida, United States Employment Type: Regular This role is for an innovative GenAI Engineering and Transformation Senior Manager (Hybrid) to drive…
Builds and maintains scalable data pipelines and cloud infrastructure in AWS to support healthcare analytics and life-sciences research.
Build AI-powered features and agents for a PLM platform using .NET, React, TypeScript, Azure, and AI frameworks like LangChain.
Build and deploy AI-driven cybersecurity automation tools, including agents and RAG systems, on cloud platforms to detect and respond to threats for a global financial firm.
Designs and builds AI agent platforms and microservices for Roche China, focusing on agent runtimes, guardrails, vector/graph databases, and Kubernetes-based cloud infrastructure while ensuring compliance with pharmaceutical security standards.
Lead a team building scalable AI/ML pipelines and cloud-native services to extract financial insights from documents, using Python, LLMs, and AWS/Azure/GCP.
Senior Data Science & AI Engineer builds and deploys AI-powered analytics and automation for aerospace manufacturing, integrating LLMs, RAG, and MLOps pipelines to improve operational decision-making and efficiency.
Lead enterprise-grade generative and agentic AI programs, designing secure, production-ready systems and reusable architectures for Fortune 500 clients across industries like insurance, healthcare, and banking.
Lead end-to-end delivery of data engineering, AI/ML, and GenAI projects, coordinating engineers and data scientists to deploy scalable solutions while managing timelines, risks, and stakeholder communication.
Build and maintain an AI-driven agentic platform that integrates APIs, data sources, and cyber-analyst workflows using Python, Kafka, and Elasticsearch.
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The…
Build production-grade full-stack software that integrates with agentic AI systems and LLM APIs, using AI coding assistants daily to accelerate delivery and quality.
Build and deploy production-grade Agentic AI systems using Google ADK, LangGraph, and MCP protocols, integrating RAG/GraphRAG with PostgreSQL/AlloyDB and GCP services.
Design and deploy AI systems for life-science research using LLMs, agentic workflows, and NLP to transform complex biological data into actionable insights.
Leads end-to-end AI-driven customer deployments for large enterprises, designing multimodal Agentic AI solutions and guiding cross-functional teams to scale enterprise AI across industries.
Principal AI Engineer at Verizon, leading complex propensity models to predict customer behaviors and churn, empowering marketers and driving customer retention.
Leads the design and implementation of AI-powered applications, focusing on generative AI systems, retrieval-augmented generation, and multi-agent workflows using Python, FastAPI, and cloud platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.