Job

Description

Design,

build, test, and deploy AI agents and agent-based

applications.

Develop

solutions using frameworks such as Lang Chain, Lang Graph, and related

AI

orchestration

tools.

Integrate

AI applications with external systems, APIs, databases, and

enterprise services.

Build

and maintain integrations using MCP and/or A2A protocols.

Develop

Python-based services, workflows, and automation solutions that

support AI

applications.

Implement

tool calling, retrieval-augmented generation (RAG), memory, and

workflow

orchestration

patterns..

Utilize

modern development practices including source control, CI/CD, and

cooperative

development

workflows.

Stay

current on advances in AI frameworks, agent architectures, and

interoperability standards.

Required

Qualifications

2+

year of experience developing AI applications, agents, or LLM-powered

solutions.

Experience

building agents using Lang Chain, Lang Graph, or comparable agent

frameworks.

Experience

developing or integrating solutions using MCP and/or A2A

protocols.

Strong

proficiency in Python software development.

Experience

integrating external APIs, tools, and services into AI

workflows.

Experience

with Git Hub, Git,



and modern source control practices.

Experience

using Visual Studio Code (VS Code) or similar development

environments.

Familiarity

with AI-assisted development tools such as Claude Code, Gemini CLI,

Codex, or

similar

platforms.

Understanding

of prompt engineering, tool use, workflow orchestration, and AI

application

design.

Strong

troubleshooting, analytical, and problem-solving skills.

Preferred

Qualifications

Experience

with Retrieval-Augmented Generation (RAG) architectures.

Experience

working with vector databases and embeddings.

Familiarity

with cloud platforms such as Azure, AWS, or Google Cloud.

Experience

deploying Python applications in containerized

environments.

Knowledge

of API design, REST services, and authentication methods.

Experience

working in Agile development teams.

Technical

Skills

Python,Lang Chain,Lang Graph,MCP

(Model Context Protocol),A2A (Agent-to-Agent Protocol)

Git Hub

/ Git,VS Code,Claude Code, Gemini CLI, Codex, or similar AI

development tools

REST

APIs and integrations,Large Language Models (LLMs)

📌 AI Engineer (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India