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.
Our client is a pre-seed fintech company building an agentic neobank: an autonomous personal CFO designed to optimize cash, debt, budgeting, expenses, investing, and taxes. Founded in 2025 by a former senior…
Build production agentic AI systems that automate workflows, support decisions, and enhance customer experiences in financial services using LLMs, RAG, and orchestration tools.
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.
Builds AI-native solutions (LLMs, agents, RAG) for clients, designing scalable architectures, writing Python code, and deploying in cloud environments (AWS/Azure/GCP) with CI/CD pipelines while ensuring reliability and performance.
Lead a team to design, build, and deploy AI/ML systems including LLMs, RAG, and agentic workflows, setting engineering standards and ensuring production-grade reliability and governance.
Designs and scales AI-powered sales enablement tools to enhance seller productivity, learning, and revenue execution by integrating generative AI, workflow automation, and content intelligence into sales platforms.
PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly…
Leads end-to-end UI/UX design and frontend development for an AI-powered video intelligence platform, building accessible, pixel-perfect React/Angular interfaces and maintaining a shared design system in Figma.
Leads a GenAI team to develop fraud detection models and AI-driven solutions, blending technical expertise in Python, LLMs, and MLOps with leadership to scale data science initiatives in fintech.
Embed with enterprise customers to prototype and deploy full-stack AI/ML solutions on Cloudera, turning complex data into actionable insights using modern AI stacks.
Design and build full-stack generative AI applications for NVIDIA's enterprise sales workflows, spanning front-end, back-end, APIs, cloud infrastructure, and AI/ML integrations using Python, Java, JavaScript, React, and Node.js.
NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Technical Platform Operations Lead to join our team and play an important role in scaling Sales AI applications and…
The Senior AI Engineer will design, develop, and productionize scalable AI/ML systems at Mastercard. The role focuses on MLOps, feature engineering, model deployment, and ensuring the reliability and observability of AI services in a production environment.
COMPANY Ready to join EVS? We're not just engineers and surveyors; we're the dream team of innovation! With forty-five years of electrifying excellence, we're the pioneers shaping the future of renewable…
This role involves designing and developing GenAI applications using Python, LangChain, and vector databases within a financial services environment. The developer will lead application systems analysis, programming, and deployment using FastAPI, containerization, and CI/CD pipelines.
The Data Engineer will develop and maintain data pipelines, products, and analytics solutions using Python, SQL, Spark, and cloud platforms like Azure, Databricks, and Snowflake. The role involves collaborating on client engagements to build cloud-based data solutions and supporting emerging AI initiatives.
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.
Builds and operationalizes Microsoft Fabric-based data and MLOps platforms for enterprise clients, focusing on governed environments, pipelines, CI/CD, data quality, and observability to enable client data science teams to deploy models reliably in production.
This role involves leading GenAI and data science initiatives to optimize pharmaceutical product development processes. The manager will collaborate with scientific teams to build scalable AI solutions, frame complex problems, and mentor practitioners in applying advanced modeling techniques.
We couldn't check your fit for this role — add a CV to your profile to see it next time.