Related skills
cloud docker python kubernetes ai📋 Description
- Write production-grade Python across AI integrations, backends, and REST APIs.
- Implement and optimize RAG systems for production use cases.
- Design and build LLM-based and agentic AI solutions for clients.
- Own the technical direction of client engagements from discovery to delivery.
- Support presales with discovery, proposals, scoping, and demos.
- Lead architecture reviews and contribute to Python standards.
- Mentor engineers, lead code reviews, and share knowledge.
- Build relationships with client stakeholders as trusted technical advisor.
🎯 Requirements
- Full-stack mindset across AI, backend, and cloud.
- Strong Python proficiency: OOP, patterns, and clean architecture.
- Experience building RESTful APIs (FastAPI, Django REST, Flask).
- Hands-on production LLM-based apps and agentic workflows.
- Docker and Kubernetes experience.
- LLM APIs such as OpenAI, Anthropic, or AWS Bedrock.
🎁 Benefits
- Work with cutting-edge AI and cloud solutions.
- Internal training and AWS certification support.
- Career growth toward senior architect roles.
- Access to the latest AI tools and premium subscriptions.
- Remote work with flexible hours.
- Private medical insurance and paid time off.
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