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 scale the backend of an AI-powered unified communications platform using Node.js, Python, and Kubernetes, integrating LLM, RAG, and GenAI features.
Owns product roadmaps for a logistics SaaS that turns carrier data into autonomous shipping solutions, using AI agents to streamline workflows and deliver customer value.
Lead the design and delivery of enterprise-grade generative AI systems using agentic architectures, RAG pipelines, and cloud-native tooling to solve complex business problems for global clients.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI integrations (RAG, LLM workflows) in cloud-native environments, while setting engineering standards and mentoring teams.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Designs enterprise AI solutions (RAG, agents, assistants) and integrates them with clients’ systems using cloud services and APIs.
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing agentic runtimes, LLM gateways, identity layers, and cloud-native infrastructure to support secure, scalable agent workflows across the enterprise.
Build and maintain scalable AWS data pipelines and Snowflake warehouses using Python, SQL, and graph/vector databases to support analytics and AI workloads.
Build and maintain scalable data pipelines on AWS and Snowflake, integrating vector/graph databases with AI workflows using Python and SQL.
Leads a team to design and build a scalable AWS/Snowflake-based data platform for manufacturing, supply chain, and engineering data—focusing on ingestion, transformation, and real-time analytics pipelines.
Design and build scalable AI platforms for healthcare, focusing on LLMs, RAG, multi-agent systems, and model routing to improve clinical decision-making and patient care.
Build production-ready AI apps for enterprises using LLMs, RAG, AI agents and workflow automation, integrating them into existing systems.
Senior DevOps/LLMOps engineer building AI-driven automation and cognitive solutions, deploying LLMs, and maintaining cloud/data pipelines for PwC’s Data & Analytics practice.
Design secure enterprise solutions and embed AI security practices, guiding teams on cloud, AI threats, and compliance while shaping security strategy across platforms and products.
Lead a team building scalable data pipelines and infrastructure for an AI-driven platform, designing systems for vector search, ML workflows, and real-time analytics using Python, Spark, Kafka, and vector databases.
Design and govern AI systems for a cloud-native mobile network, including proprietary LLM fine-tuning, RAG pipelines, and AI governance frameworks to automate design reviews and ensure network stability.
Build and maintain scalable data pipelines for Roche’s pharma R&D, integrating clinical trial systems and AI/ML infrastructure using Python, Spark, and vector databases.
Lead AI and Python development teams to design, build, and deploy machine-learning solutions in the cloud using Agile practices.
Lead a team to design and deliver Python-based GenAI solutions, guiding architecture, cloud deployment, and responsible AI practices for enterprise clients.
We couldn't check your fit for this role — add a CV to your profile to see it next time.