GenAI / Agentic AI

Orcapod Consulting Services; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Orcapod Consulting Services is seeking a Telecom E2E Solution Architect specialized in GenAI and Agentic AI. The role focuses on building production-grade Python applications, deploying AI agents, and integrating MCP servers with vector databases for scalable GenAI solutions.

The candidate should have hands-on expertise in AI agent frameworks, MCP protocols, and semantic search technologies, enabling end-to-end transformation of telecom E2E architectures.

Qualifications

• Strong hands-on experience in Python (enterprise-grade development).
• Hands-on experience building AI Agents using major frameworks.
• Model Context Protocol (MCP) – hands-on development and integration.
• Experience with vector databases, embeddings and semantic search.

Skills

Python

AI Agents

MCP Servers

Vector Databases

Job description

Telecom E2E Solution Architect GenAI / Agentic AI

Role: Telecom E2E Solution Architect – Transformation
Primary Focus: Python + Agentic AI + MCP + Vector Databases

Mandatory Skills

1. Python – Must Have

• Strong hands-on experience in Python
• Enterprise-grade application development
• Ability to design and build scalable production applications

2. AI Agents / Agentic AI – Must Have

Hands-on experience building AI Agents using one or more major frameworks:

• LangGraph
• CrewAI
• LlamaIndex
• A2A
• AutoGen
• Similar Agentic AI frameworks

3. MCP Servers – Must Have

• Model Context Protocol (MCP)
• Hands-on experience developing MCP Servers
• Managing, integrating and deploying MCP Servers

4. Vector DB & Embeddings – Must Have

• Vector Databases
• Embeddings
• Semantic search / retrieval
• Experience integrating vector databases with GenAI/Agentic AI solutions