Python Backend Engineer

Experience: Not Available to Not Available years

Location: Noida, India

Skills: Python, FastAPI, Flask, LangChain, LangGraph, Google ADK, Hugging Face, OAuth2, Prometheus, Grafana, PostgreSQL, MongoDB, Redis, FAISS, GCP, Kubernetes, MCP server

Job Summary
Python Backend Engineer Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:
• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows
• Integrate LangChain, LangGraph, or EasyRAG for contextual responses, Google ADK, Hugging Face
• Implement authentication (OAuth2), logging, and observability
• Optimize backend throughput for multi-agent systems
• Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI
• Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads
• Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns
• Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring)
• Manage service accounts, IAM policies, and network security for sandbox and production environments
• CI/CD automation for AI workloads
• Languages/Frameworks: Python, FastAPI, Flask
• GenAI Frameworks: LangChain, LangGraph, Google ADK, Hugging Face
• Databases: PostgreSQL, MongoDB, Redis, FAISS
• Cloud: GCP (Vertex AI), Kubernetes
• Agent Systems: MCP server, A2A communication

Job Responsibilities
Python Backend Engineer Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:
• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows
• Integrate LangChain, LangGraph, or EasyRAG for contextual responses, Google ADK, Hugging Face
• Implement authentication (OAuth2), logging, and observability
• Optimize backend throughput for multi-agent systems
• Provision and manage GCP infrastructure for the AI setting, MCP servers, and Streamlit UI
• Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads
• Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns
• Set up monitoring, alerting, and observability stacks (Prometheus, Grafana,



Cloud Monitoring)
• Manage service accounts, IAM policies, and network security for sandbox and production environments
• CI/CD automation for AI workloads
• Languages/Frameworks: Python, FastAPI, Flask
• GenAI Frameworks: LangChain, LangGraph, Google ADK, Hugging Face
• Databases: PostgreSQL, MongoDB, Redis, FAISS
• Cloud: GCP (Vertex AI), Kubernetes
• Agent Systems: MCP server, A2A communication

Job Description
Python Backend Engineer
Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:
• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows
• Integrate LangChain, LangGraph, or EasyRAG for contextual responses, Google ADK, Hugging Face
• Implement authentication (OAuth2), logging, and observability
• Optimize backend throughput for multi-agent systems
• Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI
• Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads
• Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns
• Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring)
• Manage service accounts, IAM policies, and network security for sandbox and production environments
• CI/CD automation for AI workloads
• Languages/Frameworks: Python, FastAPI, Flask
• GenAI Frameworks: LangChain, LangGraph, Google ADK, Hugging Face
• Databases: PostgreSQL, MongoDB, Redis, FAISS
• Cloud: GCP (Vertex AI), Kubernetes
• Agent Systems: MCP server, A2A communication

Key Responsibilities
Python Backend Engineer Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:
• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows
• Integrate LangChain,



LangGraph, or EasyRAG for contextual responses, Google ADK, Hugging Face
• Implement authentication (OAuth2), logging, and observability
• Optimize backend throughput for multi-agent systems
• Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI
• Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads
• Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns
• Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring)
• Manage service accounts, IAM policies, and network security for sandbox and production environments
• CI/CD automation for AI workloads
• Languages/Frameworks: Python, FastAPI, Flask
• GenAI Frameworks: LangChain, LangGraph, Google ADK, Hugging Face
• Databases: PostgreSQL, MongoDB, Redis, FAISS
• Cloud: GCP (Vertex AI), Kubernetes
• Agent Systems: MCP server, A2A communication

Other Requirements
Python Backend Engineer Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:
• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows
• Integrate LangChain, LangGraph, or EasyRAG for contextual responses, Google ADK, Hugging Face
• Implement authentication (OAuth2), logging, and observability
• Optimize backend throughput for multi-agent systems
• Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI
• Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads
• Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns
• Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring)
• Manage service accounts, IAM policies, and network security for sandbox and production environments
• CI/CD automation for AI workloads
• Languages/Frameworks: Python, FastAPI, Flask
• GenAI Frameworks: LangChain, LangGraph, Google ADK, Hugging Face
• Databases: PostgreSQL, MongoDB, Redis, FAISS
• Cloud: GCP (Vertex AI), Kubernetes
• Agent Systems: MCP server, A2A communication

📌 Python Backend Engineer (Noida)
🏢 HCL Technologies
📍 Noida