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 ship AI-powered observability features that help users detect, triage, and resolve incidents using LLMs and agent frameworks, working remotely in the USA.
Мы команда Сбера отвечающая за разработку и развития сервисов для предпринимателей. Создаём технологичные Е2Е решения на базе LLM и СV, которые позволяют сотням тысяч людей начать и развивать свой бизнес. Приглашаем…
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Job Title: Climbing Sales Representative Location: Based out of UCS Office in Lincolnton, NC Position Overview: We are seeking a dynamic and results-driven Sales Representative to assist with Climbing Sales. This…
Senior software engineer building Layer1 physical-layer control software for Arista's network switches, managing connectivity from 1GBASE-T to 1.6T optics using C, C++, and Python.
The Forward Deployed Engineer works directly with enterprise clients to build, deploy, and scale custom technical solutions, including AI and LLM integrations. This role acts as a bridge between client needs and core product development, requiring strong software engineering skills and the ability to communicate with technical stakeholders.
Build and deploy trustworthy, multi-agent AI systems that analyze sports performance data to provide calibrated, escalation-aware recommendations for coaches and athletes, using Python, Go, and AWS.
Develops AI-driven quantitative investment strategies by generating alpha signals, refining data pipelines, and implementing deep learning/reinforcement learning models for financial markets. Focuses on NLP, LLMs, and ML-based trading/portfolio optimization.
The Backend Engineer will build and operate AI-powered agentic systems for the Studio product, which automatically generates soundscapes for video content. The role involves working with Python, Go, GraphQL, and GCP to manage video analysis pipelines and conversational assistants.
Build and design distributed storage, data lake infrastructure, LSM engines, and high-performance storage systems, primarily using C++ and big data processing frameworks.
Train and evaluate large language and multimodal generative models at scale to power AI-assisted design features for hundreds of millions of Canva users.
Role Description We are looking to recruit an exceptional Robotic System Integration Engineer to work on integrating, testing, and deploying our robotic solutions in the lab and in the field. In this role you will:…
Senior Full Stack Engineer designing and building end-to-end cloud and GenAI solutions on AWS, using Python, serverless architectures, infrastructure-as-code, and CI/CD pipelines.
The Engineering Manager will lead a team of Machine Learning Engineers to design and deploy production-ready LLM applications and agentic AI systems for healthcare clinical workflows. The role focuses on building scalable AI infrastructure, MLOps workflows, and collaborating across teams to translate research into clinical products.
Senior engineer plans and optimizes global network capacity by analyzing traffic, predicting growth, and recommending hardware upgrades using tools like SevOne and ThousandEyes.
Staff AI Engineer at Sainsbury's designs and standardizes AI engineering practices across teams, building reusable patterns and guiding high-impact AI projects using Python, Azure, and generative AI frameworks.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
This founding machine learning engineer role involves building and owning the end-to-end learning stack for a robotics startup focused on agricultural automation. The position requires shipping learned policies on real hardware using PyTorch, MuJoCo or Isaac, and advanced knowledge of kinematics and imitation learning.
The AI/ML Engineer will develop AI-powered security solutions and product features using LLMs, agentic frameworks, and machine learning techniques. The role involves designing intelligent components and staying current with state-of-the-art AI research to enhance cybersecurity products.
We couldn't check your fit for this role — add a CV to your profile to see it next time.