Job Summary
Job Description:-
· Act as a hands-on technical contributor delivering AI-driven automation solutions across Linux/Unix server infrastructure
· Identify and prioritize repetitive manual activities suitable for automation or AI augmentation
· Work on defined problem areas (e.g., specific operational tasks, tooling improvements) within established architecture and strategy
· Develop intelligent workflows to improve:
o Incident detection, analysis, and remediation support (e.g., suggesting solutions, triaging).
o System diagnostics, root cause analysis, and proactive issue identification.
o Automation of operational runbooks and support tooling.
o Agentic AI solutions primarily for generating approval requests, drafting change tickets, or providing recommendations for human review.
· Contribute to the design and development of scalable and reusable automation components and frameworks, ensuring alignment with enterprise architecture, security, compliance, and risk standards.
· Collaborate with engineering and operations teams to embed AI capabilities and automation into daily workflows and operational processes.
· Evaluate emerging AI capabilities (e.g., GenAI, AI agents) for their potential to enhance operational efficiency, focusing on how they can support human decision-making and approval processes.
· Work within established architecture and strategy to solve defined problem areas (e.g., specific operational tasks, tooling improvements)
Key Responsibilities
NA
Skill Requirements
Skills Required:-
- Progaming Language :- Python
- LLMs & GenAI:- Gemini, Vertex AI, LangChain, LangGraph, Google ADK, RAG Pipelines, EasyRAG
- Data Systems:- PostgreSQL, Redis, FAISS, Milvus, Pinecone
- Agent Systems:- MCP Server design, A2A communication frameworks, Multi-agent workflow design
- Cloud Platforms:- GCP (Vertex AI, GKE, Cloud Run)
- API integration :- FastAPI/Flask
- Deployment :- CI/CD Pipeline,Github
- Deep learning framework :- TensorFlow , PyTorch
- OS : Unix will be preferable
Other Requirements
NA