AI Engineer (GenAI / Agentic AI)

We are seeking a highly motivated AI Engineer to design, build, and deploy AI agents and multi-agent systems. This role focuses on bridging traditional software engineering with Generative AI, enabling LLMs to interact with tools, APIs, and enterprise data systems.

The ideal candidate will have hands-on experience with RAG, LLMs, cloud platforms (AWS/Google Cloud Platform), and agentic frameworks, along with strong Python development skills.

Key Responsibilities

AI Agent Development

• Design and develop AI agents and multi-agent systems

• Build prompt workflows, chains, and implement tool/function calling

• Work on RAG (Retrieval-Augmented Generation) pipelines

• Perform testing for non-deterministic AI outputs

Performance Optimization

• Optimize LLM performance (latency, token usage, cost)

• Reduce hallucinations and improve response accuracy

• Debug and troubleshoot agent workflows

Full-Stack AI Development

• Develop scalable backend systems using Python

• Integrate AI models with APIs and enterprise systems

• Implement guardrails and security controls

AI/ML Engineering Practices

• Apply LLMOps, evaluation pipelines, and monitoring

• Manage vector databases like Pinecone, Milvus, Weaviate

• Implement CI/CD and infrastructure-as-code practices

System Integration

• Integrate AI agents with internal systems and third-party APIs

• Enable agents to perform real-world actions beyond text generation

Debugging & Monitoring

• Analyze agent behavior using tools like LangSmith, Arize

• Diagnose failures, loops, and unpredictable outputs

Documentation & Collaboration

• Document agent workflows, prompts, and architectures

• Work in an Agile environment with cross-functional teams

Required Qualifications

• Bachelor’s degree or equivalent experience

• 2+ years of IT engineering experience

• Strong proficiency in Python

• Experience with REST APIs development and integration

• Understanding of LLM concepts:

  • Context Windows

  • Temperature

  • Embeddings

  • Vector Databases

• Hands-on experience with:

  • RAG (Retrieval-Augmented Generation)

  • LLMs (Large Language Models)

  • Cloud Platforms: AWS or Google Cloud Platform

• Familiarity with:

  • LangChain, LangGraph, or similar agent frameworks

Preferred Qualifications

• Experience with Java

• Advanced Prompt Engineering techniques (ReAct, Chain-of-Thought, etc.)

• Knowledge of AI agent memory systems

• Experience building AI evaluation frameworks

• Strong understanding of system design with AI components

• Exposure to multi-agent architectures

  Additional Notes

  • Onsite role – Alpharetta, GA (No Remote/Hybrid)

  • Final interview is In-Person (Mandatory)

  • No relocation provided