Generative AI Engineer

About the Role

This Generative AI Engineer role involves designing, building, and operating production-grade Generative AI solutions for complex enterprise scenarios. The focus is on scalable LLM-powered applications, robust RAG pipelines, and multi-agent systems with MCP deployed across major cloud AI platforms.

As a key member of the team, you will work on developing and implementing enterprise-grade GenAI solutions using LLMs, building and optimizing production-ready RAG pipelines, and developing single- and multi-agent systems using LangChain, LangGraph, LlamaIndex, and similar orchestration frameworks.

Key Responsibilities

• Design and implement enterprise-grade GenAI solutions using LLMs (GPT, Claude, Llama, and similar families).
• Build and optimize production-ready RAG pipelines including chunking, embeddings, retrieval tuning, query rewriting, and prompt optimization.
• Develop single- and multi-agent systems using LangChain, LangGraph, LlamaIndex, and similar orchestration frameworks.
• Design agentic systems with robust tool calling, memory management, and reasoning patterns.
• Author MCP (Model Context Protocol) servers, tools, and resources, and integrate them with Cursor, Claude, Codex, Copilot, and internal enterprise systems.
• Build plugins and extensions for Claude, Codex, Cursor, and GitHub Copilot ecosystems.

Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• Proficiency in Python programming language.
• Experience with cloud AI platforms such as Azure, AWS, and GCP.
• Knowledge of LLMs (GPT, Claude, Llama, and similar families) and their applications.
• Understanding of RAG architectures, hybrid retrieval, and context engineering patterns.
• Familiarity with orchestration frameworks such as LangChain, LangGraph, and LlamaIndex.
• Experience with model evaluation frameworks such as RAGAS, DeepEval, or custom metrics aligned to business KPIs.

What You'll Learn

In this role, you will gain hands-on experience with designing, building, and operating production-grade Generative AI solutions. You will learn about scalable LLM-powered applications, robust RAG pipelines, and multi-agent systems with MCP deployed across major cloud AI platforms.

You will also develop skills in developing single- and multi-agent systems using LangChain, LangGraph, LlamaIndex, and similar orchestration frameworks. Additionally, you will learn about model evaluation frameworks, MCP, and cloud AI platforms.

Resume Tip

When applying for this role, make sure to highlight your experience with cloud AI platforms, LLMs, and orchestration frameworks. Also, include any relevant projects or coursework that demonstrate your skills in designing and building Generative AI solutions.

Use specific examples to showcase your understanding of RAG architectures, hybrid retrieval, and context engineering patterns. Additionally, mention any experience you have with model evaluation frameworks, MCP, and cloud AI platforms.

Remember to tailor your resume to the specific requirements of the job and highlight your unique strengths and qualifications.

Also, make sure to proofread your resume multiple times for any grammar or spelling errors before submitting it.

Finally, use keywords from the job description in your resume to increase the chances of getting noticed by the hiring manager.