Artificial Intelligence Engineer

📌 Job Description – AI Agent Engineer (Agent Building Team)

📍 Location: Alpharetta, GA (Remote)

🕒 Employment Type: Full‑Time

Role Overview

The AI Agent Engineer builds intelligent agents and AI‑powered business applications on top of the Enterprise AI Platform. This role focuses on agent orchestration, evaluation frameworks, RAG pipelines, and business workflow automation, ensuring agents perform reliably in production environments.

This is a hands‑on builder role, converting platform primitives into real‑world, outcome‑driven AI solutions.

Key Responsibilities

Agent Development & Orchestration

* Design and build agents using AWS Bedrock AgentCore SDK, Strands SDK, and CrewAI

* Develop robust agent logic using Python

* Implement advanced agent orchestration patterns for multi‑agent workflows

* Create custom tools, memory strategies, and agent behaviors

Evaluation & Quality Frameworks

* Build agent and LLM evaluation frameworks to assess:

* Model performance

* RAG quality

* Task completion and success criteria

* Implement automated evaluation pipelines and LLM‑based judging techniques

Application & Full‑Stack Development

* Build backend services using Python

* Integrate agents with platform APIs and enterprise services

* Develop frontend experiences using React JS and Node JS

* Support production‑grade deployments and versioned releases

Debugging & Observability

* Troubleshoot complex agent behaviors and interactions

* Use platform observability tools for debugging, tracing, and performance tuning

* Optimize reliability, latency, and business outcomes

Platform & Security Consumption

* Consume platform services including gateways, MCP tools, and identity systems

* Follow enterprise security, compliance, and access control patterns

* Work collaboratively with platform engineering teams

Required Skills & Experience

* 4+ years of Python development

* Hands‑on experience with AI/LLM frameworks (CrewAI, LangChain, or equivalent)

* Proven experience building production AI agents

* Strong knowledge of RAG pipelines and evaluation methodologies

* Full‑stack experience with React JS and backend services

* Experience consuming REST / GraphQL / OAuth2 APIs securely

* Strong debugging and observability skills for multi‑agent systems

Nice to Have

* Financial services or enterprise domain experience

* Multimodal agent development (text, image, audio)

* Previous CrewAI production deployments with custom tools and memory management