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.
The DevOps Engineer will develop and manage a MongoDB database-as-a-service offering within the STACKIT cloud platform. The role involves automating database operations, supporting internal projects, and working with Kubernetes-based infrastructure.
This role involves designing and maintaining scalable Java backend systems using Spring Boot and microservices to support the development and training of AI systems. You will collaborate with distributed teams to build production-grade services and optimize backend performance.
This role involves designing and scaling an AI-native SaaS platform using Python for backend services and React for frontend development. The engineer will lead architecture decisions, build intelligent workflows, and manage the full development lifecycle from implementation to production.
The Senior Data Engineer will lead a team in developing scalable data pipelines, managing data warehouses, and building data APIs using cloud platforms like GCP, AWS, or Azure. The role involves technical leadership, stakeholder management, and implementing data governance and transformation logic for AI-driven projects.
The Data Engineer will develop and maintain scalable data pipelines and ETL processes to support autonomous driving AI applications. The role involves working with cloud platforms like Azure, AWS, or Palantir and collaborating with interdisciplinary teams to deliver data-driven software solutions.
The Data Engineer will develop scalable data products and build ETL pipelines to support autonomous driving AI solutions within an interdisciplinary engineering environment.
This role involves building machine learning models, NLP tasks, and chatbot applications using Python, SQL, and Google Cloud's Vertex AI and Gemini. The data scientist will work on RAG applications and vector databases in a lean environment.
Senior Full-Stack Engineer building and maintaining web applications with Laravel and React.js, designing RESTful APIs, and integrating AI-enabled services and third-party APIs at BrandWriter AI in Petaling Jaya.
Build and maintain web applications using PHP (Laravel) and React.js, integrating LLM APIs (OpenAI, Anthropic) and implementing billing/subscription systems with Stripe for an AI-focused product company.
The Lead Generative AI Engineer will architect and deploy production-grade GenAI platforms, RAG pipelines, and agentic workflows. The role involves technical leadership, mentoring, and optimizing AI infrastructure using Python and modern LLM frameworks.
Builds and maintains AI-powered fundraising copy generation systems (Lantern) with full ownership over prompt architecture, model deployment, and eval suite reliability.
Design, develop, and deploy autonomous AI agents that automate enterprise workflows using Python, LLMs, cloud platforms (AWS/GCP/Azure), SQL/NoSQL databases, and Docker/Kubernetes.
Build and maintain scalable backend services using Java and Spring Boot, designing microservices and REST APIs for an AI training platform.
The Product Designer will lead the end-to-end design of software and hardware-integrated workflows for quantum sensing and metrology systems. This role involves conducting user research, mapping complex scientific journeys, and creating high-fidelity designs in Figma to improve the efficiency of semiconductor chip testing.
Builds and maintains AI-driven document parsing pipelines (OCR, VLM, multimodal AI) for SingTel’s AIDA unit, extracting structured/unstructured data (PDFs, images, audio, etc.) and optimizing embedding models for semantic search and GenAI applications.
Builds AI-ready data pipelines and products for a life-science company, turning raw data into retrieval-ready, semantically annotated assets under strict certification standards.
Builds and deploys cloud-based generative AI applications in the Microsoft ecosystem, focusing on backend (Python/.NET) with React/Next.js for frontend needs, and owns full lifecycle of AI services like LLMs, RAG, and agent-based architectures.
Build and secure AWS infrastructure to deploy and run GenAI workloads, using Python, Terraform, and CI/CD pipelines while collaborating with data science teams.
Build and maintain web applications for an AI Enablement team, working primarily in Node.js or Python.
Oversee NVIDIA-based AI projects from pre-sales to delivery, bridging technical teams, clients, and business goals.
We couldn't check your fit for this role — add a CV to your profile to see it next time.