Builds the AI agents, prompts, skills, and reasoning pipelines that automate scoping, decomposition, planning, testing, and specification synthesis.

Responsibilities

Develop AI agents, workflows, skills, prompts, and reasoning pipelines using agent-orchestration frameworks.

Build agents for scoping, domain decomposition, planning, test generation, and specification synthesis.

Integrate Retrieval-Augmented Generation (RAG) and context-retrieval layers to ground agent outputs.

Design and implement guardrails (approved technology standards, naming conventions, and pre-checks sourced from the knowledge base).

Create reusable prompt libraries, agent skills, and evaluation datasets.

Continuously evaluate model performance, grounding quality, hallucination rates, and reasoning accuracy.

Collaborate with backend and platform teams to operationalize agent capabilities.

Qualifications

Bachelor's or Master's degree in Computer Science, AI, or a related discipline.

6+ years of total experience and 2+ years of Agent development experience.

Strong Python programming expertise.

Hands-on experience with LLMs, agent-orchestration frameworks, prompt engineering, and vector databases.

Experience with RAG patterns, context engineering, and knowledge retrieval.

Experience developing autonomous, tool-using, planning, and multi-agent systems.

Familiarity with evaluation frameworks, observability tooling, and AI guardrails.

Understanding of enterprise integration patterns and cloud platforms.

Mandatory Tech Stack

Language: Python.

Agent Frameworks: LangGraph / LangChain or equivalent agent-orchestration frameworks.

LLM APIs: OpenAI / Anthropic / Bedrock / Azure OpenAI or equivalent foundation-model APIs.

Agentic RAG & Retrieval: Vector databases such as Pinecone / FAISS, embeddings, and semantic search.

Prompting: Prompt engineering, context engineering, and structured outputs.

1. Agent Developer with MCP specialization-6+yrs-12yrs-30lpa max





Specialist agent developer focused on Model Context Protocol implementation, MCP servers, tool integration, secure context exchange, and streamable transports for agentic workflows.

Responsibilities

Design and implement MCP servers, tools, resources, prompts, and context-exchange patterns for agent workflows.

Build secure tool integrations that connect agents to enterprise APIs, knowledge systems, developer tools, and workflow services.

Implement streamable transports such as HTTP, SSE, and WebSocket for real-time agent-tool communication.

Define MCP usage standards, schemas, tool contracts, authentication, authorization, and observability patterns.

Validate tool-calling accuracy, error handling, retries, permissions, rate limits, and protected execution boundaries.

Collaborate with backend, platform, and agent teams to operationalize reusable MCP services and integrations.

Qualifications

Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related discipline.

6+ years of total experience, including 2+ years in agent development, enterprise integration, or MCP-based tool integration.

Strong Python programming expertise.

Hands-on experience building MCP servers, tools, resources, prompts, and agent-tool integration patterns.

Experience with API integration, authentication, authorization, streaming transports, tool contracts, and secure execution boundaries.

Familiarity with LangGraph / LangChain, LLM APIs, observability, retries, error handling, and AI guardrails.

Mandatory Tech Stack

Language: Python.

Agent Frameworks: LangGraph / LangChain or equivalent agent-orchestration frameworks.

LLM APIs: OpenAI / Anthropic / Bedrock / Azure OpenAI or equivalent foundation-model APIs.

MCP: MCP server implementation, MCP tool integration, resources, prompts, schemas, and secure context exchange.

Transports: Streamable HTTP, SSE, WebSocket, request / response and streaming patterns.

Integration & Security: REST APIs, authentication, authorization, tool permissions, rate limits, retries, and observability.

📌 Walk-in || Ai Agent Developer (Chennai)
🏢 Intellics Global Services
📍 Chennai