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.
Leads a team to design and deploy production-grade GenAI systems, including RAG pipelines and agentic workflows, while establishing reusable frameworks and best practices for JPMorganChase.
Design and lead AI-driven platforms, selecting frameworks like PyTorch and deploying models via MLOps pipelines to solve business challenges at scale.
Develops generative AI applications with deep expertise in AI/ML, focusing on building advanced models and solutions requiring at least 8 years of specialized experience.
Build and deploy generative AI applications using AI/ML frameworks and tools for an enterprise product team.
This Director-level Java Backend Engineer role involves building scalable enterprise applications for Prime Brokerage and Institutional Equity teams using Java, Spring Boot, and agentic AI workflows. The position requires deep backend expertise and experience integrating LLMs and agentic frameworks into production systems.
Builds and deploys generative AI/autonomous agent systems (LLMs, GANs, RAG) to optimize Maersk’s supply chain processes, focusing on NLP, multimodal AI, and agentic architectures for real-world automation.
Designs, builds, and scales AI-powered customer and banker experiences using Generative AI, agentic AI, and LLMs. Focuses on cloud-native platforms, architecture, and responsible AI practices to transform Business Banking interactions.
This role involves leading the design and development of scalable microservices and foundational systems for Disney's ad platforms. The engineer will work with Python, Django/Flask, and AWS cloud infrastructure to build high-quality solutions within an agile, lean environment.
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
The Advisor AI/ML Engineer will design enterprise AI blueprints, lead applied research in LLMs and agentic systems, and manage MLOps pipelines for Lilly's commercial technology team. The role involves mentoring engineers and bridging cutting-edge AI research with scalable business outcomes using AWS, Azure, and Databricks.
The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
Design, develop, and deploy GenAI and agentic workflows across the HR hire-to-retire lifecycle at Revvity, building full-stack applications that integrate LLMs and RAG pipelines with enterprise HR systems like Workday.
At ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the…
The Advisor AI/ML Engineer will define enterprise AI blueprints and lead the development of LLM-based solutions and MLOps pipelines for commercial applications. This hands-on role involves mentoring engineers and bridging cutting-edge AI research with business outcomes using technologies like Python, PySpark, AWS, Azure, and Databricks.
As a Senior Manager, you will lead the development of innovative AI-driven software solutions and manage cross-functional teams to drive digital transformation for clients. The role involves designing enterprise architectures and building scalable applications using Python, React Native, and various AI frameworks like LangChain and RAG.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable GenAI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating AI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams using Python, PyTorch, and cloud-based AI platforms.
The Senior AI Software Engineer will lead the design and deployment of intelligent AI agents and workflows to drive enterprise efficiency. The role requires expertise in Python, LLM integration, and agentic frameworks to build scalable AI solutions.
The AI Engineer will build and scale the infrastructure and operations platform for AI products, focusing on MLOps, automation, and observability. The role involves managing ML and LLM pipelines in AWS and Azure environments while collaborating with cross-functional data teams.
Design, build, and deploy production LLM-powered applications, multi-agent workflows, and autonomous AI systems using Python, LangChain/LangGraph, and Azure cloud infrastructure in a hybrid London role.
We couldn't check your fit for this role — add a CV to your profile to see it next time.