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company_site

Track Lead (Support & Operations) (GB)

HCL Technologies
GBR
Lead
Onsite
Discovered 5 days ago
fastapiflaskgcpgeminilangchainpostgresql

Full Job Posting

Requirements

  • 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

Full Job Posting

Job Summary

  • 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:
  • Incident detection, analysis, and remediation support (e.g., suggesting solutions, triaging).
  • System diagnostics, root cause analysis, and proactive issue identification.
  • Automation of operational runbooks and support tooling.
  • 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

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