Related skills
docker python kubernetes fastapi rag📋 Description
- Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges
- Implement and optimize RAG systems for production use cases
- Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor
- Support presales: discovery calls, technical proposals, scoping, and client-facing demos
- Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team
- Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
🎯 Requirements
- 7+ years building and running production systems
- Hands-on experience building production LLM-based applications and agentic workflows
- Experience deploying and maintaining AI/ML models in production environments; familiarity with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
- Python skills: OOP, design patterns, clean architecture, and performance optimization
- Experience building RESTful APIs with FastAPI, Django REST, or Flask
- Docker and Kubernetes experience
🎁 Benefits
- Cutting-edge AI and cloud solutions
- Internal training programs with AWS certifications
- Career growth path toward Senior Architect or beyond
- Access to the latest AI tools and premium subscriptions
- Remote work with flexible hours
- Private medical insurance or a budget for your medical needs
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!