Lead Agentic AI Engineer – Multiagent Systems Architect

GSquared Group; Atlanta (GA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

A technology consulting firm is seeking a Lead Engineer in Atlanta, GA, with over 10 years of experience in full stack software development, especially in JAVA or .NET. Candidates should possess strong skills in Python, AI/ML, and prompt engineering, with an emphasis on agentic AI system design and development. This position involves creating complex multiagent workflows and optimizing system performance in line with business KPIs. The role requires hands-on experience and advanced problem-solving abilities.

Qualifications

• 10+ years of full stack software development experience.
• Solid experience in Python.
• 8+ years of experience in AI/ML or backend engineering.

Responsibilities

• Design and implement complex multiagent workflows.
• Define and implement evaluation frameworks for agentic systems.
• Continuously enhance system performance.

Skills

Full stack software development

Python

AI/ML

SQL

Prompt engineering

Agent development

Tools

LangChain

LangGraph

CrewAI

Semantic Kernel

Job description

Location: Occasional onsite work required in Atlanta, GA

Duration: 6 month contract to hire

About the Role

Lead Engineer with 10+ years of full stack software development experience in JAVA or .NET, with a focus on backend. You will need solid experience in Python and professional experience with prompt engineering and agent development.

Responsibilities

• Hands on experience with multiagent architectures, strong judgment in model and system design, and the ability to continuously improve AI system performance aligned to business priorities.
• 8+ years of experience in AI/ML, data science, or backend engineering, with significant handson work in agentic or GenAI systems
• Proven experience building productiongrade agentic AI systems, not just prototypes or demos
• Strong understanding of:
• Prompt engineering and agent orchestration
• Evaluation methodologies for LLM and agentic systems
• Demonstrated ability to make independent architectural and model decisions
• Strong SQL skills for data analysis and debugging
• Proficiency in Python and modern AI/ML tooling
• Experience deploying agentic systems in enterprise or regulated environments
• Exposure to MLOps, monitoring, and postdeployment optimization
• Experience aligning AI system performance with business KPIs
• Not an execution only LangChain / prompt engineering position

Responsibilities

• Agentic AI System Design & Development
• Design and implement complex multiagent workflows using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or equivalent
• Architect agent systems that incorporate planning, memory, tool orchestration, feedback loops, and safe control flows
• Own agent behavior endtoend, from prompt and tool design to runtime execution and iteration
• Evaluation & Performance Optimization
• Define and implement evaluation frameworks for agentic systems, including automated evaluation (e.g., LLMasjudge, metrics) and humanintheloop feedback
• Analyze agent outputs to identify failure modes, inefficiencies, hallucinations, and quality gaps
• Continuously enhance system performance across accuracy, latency, cost, reliability, and business impact