Description

Responsibilities

Design and develop production-ready Agentic AI solutions.

Build scalable multi-agent workflows.

Integrate AI applications with APIs and LLM platforms.

Develop Retrieval-Augmented Generation (RAG) pipelines.

Optimize AI applications for performance, reliability, and scalability.

Implement monitoring, evaluation, and CI/CD practices.

Troubleshoot and debug complex AI workflows.

Mentor team members and contribute to technical best practices.

Required Skills

Generative AI fundamentals

Large Language Models (LLMs)

Prompt Engineering

LangGraph or equivalent Agentic AI frameworks

LangChain

Python

Asynchronous Programming

Multi-Agent Systems

OpenAI, Anthropic, or similar LLM platforms

Retrieval-Augmented Generation (RAG)

AI evaluation and monitoring

CI/CD

Preferred Skills

MCP Servers

Google ADK

Experience with production-scale AI platforms

Key Skills

Education

Bachelor's degree