AI Engineer [Feelance]
Tasks
- Build MaaS and AaaS services
- Build production AI agents
- Create agent evaluation pipelines
- Create backend services for enterprise systems
- Deploy LLM solutions in production
- Design agentic platform APIs
- Develop MCP servers and agent integrations
- Develop multimodal and conversational experiences
- Establish AIOps and AgentOps practices
- Implement monitoring and observability
- Implement unit tests and CI/CD
- Maintain production quality Python
- Perform code reviews and version control
- Translate stakeholder needs into measurable GenAI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | CI/CD | Docker | Git | Google ADK | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | N8n | Observability | Python | Unit Testing | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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