Descripción del puesto
🔍 We are looking for an AI Engineer to join a Continuous Integration team. This role will be key in designing, developing, and deploying AI microservices, working with cutting-edge frameworks like Langchain and LangGraph within a scalable cloud-native architecture.
💡 Main responsibilities:
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Build and deploy AI microservices in Python.
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Design scalable multi-agent systems.
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Use Docker and Kubernetes for containerization and orchestration.
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Integrate AI services into CI/CD pipelines.
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Collaborate with data science, DevOps, and product teams to bring AI from research into production.
🌐 What the company offer: the opportunity to work at the intersection of AI innovation and cloud-native technologies, contributing to the development of our next-generation enterprise platform.
Requisitos
Requirements
- Python: Proficient in Python programming, with experience in developing AI applications and microservices.
- Langchain: Expertise in Langchain framework for building AI applications that integrate language models with external data and tools
- LangGraph: Experience with LangGraph for constructing and managing graph-based AI workflows and decision-making processes
- Microservice Architecture: Strong understanding of microservice design principles, including service decomposition, API design, and inter-service communication
- Multi-agent Systems: Proven experience in designing and deploying multi-agent AI systems that enable autonomous, collaborative, or competitive agent behaviors
- MCP Reverse Proxy: Knowledge of MCP Reverse Proxy configurations and management to facilitate secure and efficient routing of AI microservices
- Enterprise Platform Deployment: Familiarity with deploying AI solutions within enterprise-grade platforms, ensuring scalability, security, and compliance
- Docker and Kubernetes (K8s) Experience: Hands-on experience with containerization using Docker and orchestration with Kubernetes, including deployment, scaling, and management of containerized AI services
Beneficios
💵 Contractor
🌍 100% remote