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.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
Senior Security Engineer building autonomous AI agents that protect Procore's cloud platform—designing agentic IAM, self-healing infrastructure, and AI-driven SDLC pipelines using LLM orchestration, AWS, Kubernetes, and Python/Go.
Senior AI Engineer building Agentic AI use cases for Trading Surveillance, involving full-stack Python apps, RAG systems, vector databases, data pipelines, and multi-cloud AI infrastructure.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed…
Lead AI Engineer designing and operationalizing next-gen agentic AI systems for a financial institution, focusing on LLM architectures, RAG pipelines, and SRE for secure, compliant banking automation.
The AI Engineer will design, develop, and deploy production-grade Agentic AI and Generative AI systems for BMO Capital Markets. The role focuses on building scalable AI platforms, LLM-based applications, and orchestration frameworks to support investment banking and global markets.
About Kindsight Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest…
Build and ship production-grade AI agents using LangGraph and frontier models to automate real-estate workflows like lease administration and workplace management.
The AI Engineer designs and implements AI-based applications using Python, LLMs, and orchestration tools like LangChain. The role involves building scalable, secure architectures on cloud platforms and integrating them into enterprise environments.
Senior engineer building a contract-review AI agent from scratch across the full stack—React/Next.js UI, LLM orchestration, RAG pipelines, vector stores, and cloud infra—at DeepLaw, a legal-tech startup.
The AI Solutions Architect will lead the design and implementation of end-to-end AI/ML and RAG systems for banking clients, ensuring compliance with regulatory standards. The role involves defining technical architecture across Microsoft Azure and open-source stacks while mentoring a team and establishing engineering guardrails.
Builds and deploys AI-powered applications and the infrastructure that runs them, focusing on LLM integration, agentic systems, and automation across cloud and on-premise environments.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Full Stack AI Engineer building AI-native SaaS products — designing and shipping AI-powered features end-to-end with focus on backend/LLM integration, agent pipelines, and RAG workflows using TypeScript, Node.js, React, and PostgreSQL.
Senior Software Engineer building scalable AI-powered backend and front-end systems that extract insights from unstructured engineering documents (CAD/BIM, technical reports). Core stack: Python (FastAPI/Flask/Django), React/TypeScript, LLM/RAG integration, vector databases, and multi-cloud deployment.
Full Stack Developer on a 12-month contract who builds end-to-end web applications and integrates AI/GenAI capabilities (RAG, LLMs, chatbots) into enterprise solutions, using modern JS/TS frontends, Node.js/Python/Go backends, and cloud platforms, while leveraging AI-assisted coding tools daily.
Builds and maintains scalable backend services and AI-powered systems for a government tech platform, focusing on Python, APIs, cloud infrastructure, and secure integrations.
Design, develop, and deploy production-grade Generative AI applications using LLMs, RAG pipelines, and agentic AI frameworks on Azure/AWS cloud platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.