Artificial intelligence is reshaping every industry, and companies are scrambling for engineers who can build autonomous, multi‑agent systems. This niche is booming because businesses need scalable, intelligent workflows that can learn and adapt in real time. The contract role in Alpharetta offers a chance to work on cutting‑edge Agentic AI projects while leveraging your deep Python and Java expertise.

Job Summary

We are looking for an experienced AI Engineer to design, develop, and deploy autonomous Agentic workflows and multi‑agent orchestration solutions. The candidate must have 8+ years of software engineering experience, strong Python programming skills, and proven ability to handle large, unstructured data sets. Experience with Agentic AI frameworks (preferably Google ADK/A2A), Retrieval‑Augmented Generation (RAG), and Large Language Models (LLMs) is essential.

Top 3 Critical Skills Table

Interview Preparation

1. Explain how you would design an autonomous Agentic workflow that integrates multiple LLMs.
   What the interviewer is looking for: Understanding of multi‑agent architecture, data flow, and orchestration tools (e.g., Google ADK/A2A).
2. Describe your approach to cleaning and structuring massive unstructured datasets for AI training.
   What the interviewer is looking for: Practical data engineering pipelines, scalability techniques, and Python libraries used.
3. How does Retrieval‑Augmented Generation differ from traditional LLM prompting, and when would you choose it?
   What the interviewer is looking for: Depth of knowledge about RAG concepts, benefits, and trade‑offs.
4. Walk us through a project where you implemented multi‑agent coordination. What challenges did you face and how did you resolve them?
   What the interviewer is looking for: Real‑world experience, problem‑solving, and familiarity with orchestration frameworks.
5. What security and compliance considerations are important when building AI workflows that process sensitive data?
   What the interviewer is looking for: Awareness of data privacy, encryption, access controls, and regulatory standards.

Resume Optimization

• Python
• Java
• Agentic AI
• Retrieval‑Augmented Generation (RAG)
• Large Language Models (LLMs)
• Autonomous workflows
• Multi‑agent orchestration
• Google ADK/A2A
• Data cleaning at scale
• Unstructured data processing

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attach your updated resume, and clearly highlight your top relevant skills. Make sure to mention related skills you possess, such as Python development, Agentic AI workflow design, and experience with RAG/LLMs. Reference a specific project where you built a multi‑agent system and explain how it aligns with the responsibilities listed in the job description.

Career Roadmap