Agentic AI Engineer

Experis-US

Charlotte (NC)

On-site

USD 180,000 - 260,000

Full time

4 days ago

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Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Act

Supplemental Life Insurance

Short Term and Long Term Disability

Business Travel Insurance

401(k), Plus Match

Weekly Pay

Job summary

Agentic AI Engineer at Experis Technology Group in Charlotte, NC will design and build agentic AI systems using LLMs, including planning, memory, and tool usage. The role requires integrating REST APIs and enterprise services to deliver end-to-end AI workflows with scalable, secure, and observable systems.

You will work with AI teams to improve agent accuracy and reliability, collaborating with business stakeholders to translate use cases into production-ready AI solutions.

Qualifications

10+ years hands-on development experience in software/AI
Strong Python programming skills
Experience with LangChain and LangGraph
Knowledge of vector databases (FAISS, Pinecone, PgVector)
Development experience with REST APIs and microservices

Responsibilities

Design and develop agentic AI systems using LLMs and enterprise-ready integrations.
Build multi-step AI agents and workflows with planning, memory, and tool usage."
Integrate REST APIs, microservices and knowledge sources into agent workflows to enable end-to-end functionality.
Ensure scalability, performance, and security of AI systems while monitoring agent behavior and improving reliability.

Skills

Python

LangChain

LangGraph

REST APIs

Microservices

AWS

Anthropic AI services

Vector databases

FAISS

Pinecone

PgVector

Tools

AWS Bedrock

Anthropic API

REST APIs

Job description

Our client is seeking a Agentic AI Engineer to join their team. As a Agentic AI Engineer, you will be part of the AI Engineering organization supporting delivery teams building intelligent autonomous systems. The ideal candidate will have a strong drive to turn complex AI concepts into reliable production solutions, a collaborative mindset to work with business stakeholders, and the discipline to monitor, evaluate, and continuously improve agent performance.

Job Title: Agentic AI Engineer

Location: Charlotte, North Carolina

What's the Job?

Design and develop agentic AI systems using LLMs and enterprise-ready integrations (e.g., AWS Bedrock, Anthropic API, and related services). Build multi-step AI agents and multi-agent workflows with planning, memory, and tool usage capabilities to reason, plan, and execute tasks. Integrate REST APIs, microservices, enterprise systems, and knowledge sources into agent workflows to enable end-to-end functionality. Implement RAG (Retrieval Augmented Generation) pipelines, including vector embeddings and retrieval strategies that improve answer quality and relevance. Ensure scalability, performance, and security of AI systems while monitoring agent behavior and improving accuracy and reliability over time.

What's Needed?

10+ years of hands‑on development experience in software engineering / AI development. Strong programming skills in Python (mandatory). Experience with LLM frameworks: LangChain and LangGraph (mandatory). Knowledge of vector databases such as FAISS, Pinecone, PgVector, or similar. Development experience with REST APIs and microservices architecture, plus AWS and/or Anthropic AI services.

What's in it for me?

Opportunity to build agentic AI systems that combine planning, tool use, and retrieval for real‑world task execution. Work on AI and agents evaluations to strengthen quality, accuracy, and reliability. Hands‑on involvement with AI observability and control plane integration to support safe, measurable operations. Collaboration with business teams to translate use cases into working AI solutions. A structured onboarding process that includes a required meet and greet for new hires.

Benefits