IT Automation and AI Engineer
Tasks
- Apply Infrastructure as Code with Terraform
- Build RAG and grounding pipelines
- Build agentic workflows
- Deploy services on GCP
- Develop Python APIs and services
- Ensure security for AI services
- Implement human-in-the-loop checkpoints
- Implement testing for AI logic
- Integrate Gemini Enterprise with LLMs
- Manage agent state and memory
- Manage containers with Docker
- Orchestrate multi agent LLM interactions
- Orchestrate with Kubernetes
- Set up CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
Asynchronous Python | CI/CD | Cloud Native | Cloud Native Architecture | Distributed Systems | Docker | Function Calling | GCP | Gemini Enterprise | Infrastructure as Code | Kubernetes | Langchain | Langgraph | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Security Testing | Structured outputs | Terraform | “as-code”
Education
N/A
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