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Agentic AI Engineer | Atlanta, GA

Teknohire, Inc.

Hybrid in Atlanta, Georgia • 2d ago

Easy Apply

Contract

Depends on Experience

AI Engineer / Developer - Atlanta, GA(Onsite)

Nobl Q, LLC.

Atlanta, Georgia • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Machine Learning / AI Engineer (Lead) : Alpharetta GA (OR) OaklandBay area , CA

Nexwave

Alpharetta, Georgia • 9d ago

Easy Apply

Contract

Lead AI Engineer - Agentic AI & Enterprise Solutions

Reliable Software Resources

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Machine Learning / AI Engineer (Lead) with Azure&Snowflake : Alpharetta GA or Bay area , CA (1 day in office)

Nexwave

Atlanta, Georgia • 9d ago

Easy Apply

Contract, Third Party

Agentic AI Engineer

Kforce Technology Staffing

Brookhaven, Georgia • Today

Contract

$50 - $60 hourly

Agentic AI Engineer

Oraapps Inc

Hybrid in Atlanta, Georgia • 2d ago

Easy Apply

Contract

Depends on Experience

Agentic AI Engineer

Eliassen Group

Alpharetta, Georgia • Today

Contract

AI Engineer | Agentic Systems

Machinify

Remote • Today

Full-time

USD 130,000.00 - 200,000.00 per year

AI Engineer - Agentic AI Development - Contract - PST

Acunor Infotech

Remote or Seattle, Washington • Today

Easy Apply

Full-time, Contract, Third Party

Agentic AI Forward Deployment Engineer / Architect

Photon

Remote • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

Agentic AI Engineer

Showman Staffing

Remote • 8d ago

Easy Apply

Full-time

80,000 - 110,000

GenAI/Agentic AI Engineer

Reliable Software Resources

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Agentic AI Engineer - Nashville, TN, Kansas City, KS, Denver, CO, Phoenix, AZ, St. Louis, MO.

TechniPros, LLC

Remote or Nashville, Tennessee • Yesterday

Easy Apply

Contract

Depends on Experience

Principal Forward Deployed Engineer - Agentic AI

OutSystems

Remote or Boston, Massachusetts • Today

Full-time

USD 153,000.00 - 186,300.00 per year

Senior AI Engineer, Agentic and RAG Systems

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer, Agentic and RAG Systems

EPAM Systems

Remote • Today

Full-time

Senior AI Engineer - Agentic

Podium

Remote or Lehi, Utah • Today

Full-time

Agentic AI Engineer

ConglomerateIT

Remote or Hybrid in Georgia, Vermont • Today

Easy Apply

Contract

Generative/Agentic AI Engineer

AspireIT Solutions

Remote • 16d ago

Easy Apply

Contract, Third Party

$65 - $70

Python Engineer, Agentic AI

Comcast Corp

Remote or Washington, District of Columbia • Today

Full-time

USD 142,651.46 - 213,977.19 per year

Agentic AI/ML Architect

Photon

Remote • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI Architect

RITWIK Infotech Inc

Atlanta, Georgia • 4d ago

Easy Apply

Full-time

$70 - $80

AI ML Solution Architect & Developer Manager

Protiviti

Atlanta, Georgia • Today

Full-time

USD 136,000.00 - 217,000.00 per year

AL/ML Technical Lead

Booz Allen Hamilton

Hybrid in Atlanta, Georgia • Today

Full-time

USD 128,700.00 - 292,000.00 per year

Senior Machine Learning Engineer

FanDuel

Atlanta, Georgia • 10d ago

Full-time

USD 138,000.00 - 181,650.00 per year

Gen AI Engineer

Elevance Health

Atlanta, Georgia • Today

Full-time

Senior Data Scientist - Fraud

Equifax

Alpharetta, Georgia • Today

Full-time

Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist

Deloitte

Atlanta, Georgia • 2d ago

Full-time

USD 134,500.00 - 265,100.00 per year

AI Research Engineer - Representation Learning

Equifax

Alpharetta, Georgia • Today

Full-time

Job Details

Skills

Agentic AI
LLM
RAG
Generative-AI
Python

Summary

Role: Agentic AI Engineer

Location: North Druid Hills Support Center, Atlanta, GA- Onsite 4x per week while ramping up, but can transition to 3x onsite Hybrid

Duration: 6 month CTH Must be able to convert without sponsorship

What You''ll Do

Design, develop, and deploy enterprise-grade AI applications using modern software engineering best practices.
Build and enhance agentic AI solutions, AI copilots, and intelligent workflow automation.
Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks.
Build scalable APIs, microservices, and integrations supporting enterprise AI platforms.
Collaborate with data scientists to productionize machine learning and AI solutions.
Implement testing, monitoring, observability, and governance practices for AI applications.
Ensure AI solutions meet security, compliance, and responsible AI standards.
Contribute to architecture decisions for enterprise AI platforms and reusable application frameworks.
Work within Azure and Microsoft''s AI ecosystem while supporting multi-cloud best practices where appropriate.
Participate in code reviews and promote engineering excellence across the team.

Current AI Initiatives

This role will contribute to several strategic AI initiatives, including:
Payer Intelligence Platform
Monitor payer policy changes using AI.
Assess operational impact of policy updates.
Support managed care teams in prioritizing actions and dispute resolution.

Clinical Chart Review: Build agentic AI solutions using EHR and clinical documentation.

Support patient cohort identification.
Generate clinical insights for quality improvement initiatives.
Population Market Intelligence: Analyze internal and external datasets.
Generate recommendations for service line growth.
Identify emerging healthcare market opportunities.

Required Qualifications

MUST HAVE A Bachelor''s degree in Computer Science, Engineering, Data Science, or a related technical field. Master''s degree preferred. Equivalent professional experience may be considered in lieu of an advanced degree.
Approximately 3+ years of experience in AI engineering, machine learning engineering, data engineering, software engineering, or a related technical discipline.
At least 2 years of experience designing, building, and supporting production-grade enterprise applications.
Hands-on experience developing applications using Large Language Models (LLMs).
Experience implementing Retrieval-Augmented Generation (RAG) architectures.
Experience building agentic AI applications, AI assistants, or workflow automation solutions.
Strong Python programming skills.
Experience building and consuming RESTful APIs.
Knowledge of software engineering best practices, including testing, version control, CI/CD, and maintainable application design.
Experience designing scalable enterprise application architectures.

Preferred Qualifications

Experience within healthcare, provider organizations, payer organizations, or biomedical environments.
Experience with Microsoft Azure and Azure AI services.
Familiarity with GitHub Copilot and the Microsoft AI ecosystem.
Experience with AI governance, responsible AI practices, observability, guardrails, and model monitoring.
Background in MLOps and production AI deployment.
Technical Environment
Python
Azure (preferred)
GitHub Copilot
Microsoft AI ecosystem
REST APIs
Microservices
Enterprise AI architecture
Tool-calling frameworks
Retrieval-Augmented Generation (RAG)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91171446
Position Id: 9055775
Posted 2 days ago

Fitment

Dice Job Match Score™

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Contact the job poster

Abhishek Yadav

Recruiter @ Teknohire, Inc.

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Agentic AI Engineer

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What You''ll Do Design, develop, and deploy enterprise-grade AI applications using modern software engineering best practices.Build and enhance agentic AI solutions, AI copilots, and intelligent workflow automation.Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks.Build scalable APIs, microservices, and integrations supporting enterprise AI platforms.Collaborate with data scientists to productionize machine learning and A

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Agentic AI Engineer

Brookhaven, Georgia

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RESPONSIBILITIES: Kforce has a client that is seeking an Agentic AI Engineer to join their team in Brookhaven, GA. Summary: We are seeking an Agentic AI Engineer to design, develop, and deploy enterprise-scale AI solutions that drive business and operational outcomes. This role will focus on building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and intelligent automation. The ideal candidate combines strong software enginee

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AI Engineer

Atlanta, Georgia

•

Today

We're looking for an AI Engineer to design and deliver secure, scalable applications that bring modern AI into enterprise environments. In this role, you'll apply technologies like LLMs, RAG, vector search, and agentic workflows to improve search, automation, and decision-making across the business. This is a hands-on role focused on applying modern AI capabilities in practical ways, not building or training foundational models from scratch. We're looking for someone who can turn AI into useful

Full-time

Compensation information provided in the description

AI Engineer

Atlanta, Georgia

•

2d ago

Full-time

Compensation information provided in the description

Job Details

Skills

Agentic AI
LLM
RAG
Generative-AI
Python

Summary

Role: Agentic AI Engineer

Location: North Druid Hills Support Center, Atlanta, GA- Onsite 4x per week while ramping up, but can transition to 3x onsite Hybrid

Duration: 6 month CTH Must be able to convert without sponsorship

What You''ll Do

Design, develop, and deploy enterprise-grade AI applications using modern software engineering best practices.
Build and enhance agentic AI solutions, AI copilots, and intelligent workflow automation.
Develop LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), tool calling, and orchestration frameworks.
Build scalable APIs, microservices, and integrations supporting enterprise AI platforms.
Collaborate with data scientists to productionize machine learning and AI solutions.
Implement testing, monitoring, observability, and governance practices for AI applications.
Ensure AI solutions meet security, compliance, and responsible AI standards.
Contribute to architecture decisions for enterprise AI platforms and reusable application frameworks.
Work within Azure and Microsoft''s AI ecosystem while supporting multi-cloud best practices where appropriate.
Participate in code reviews and promote engineering excellence across the team.

Current AI Initiatives

This role will contribute to several strategic AI initiatives, including:
Payer Intelligence Platform
Monitor payer policy changes using AI.
Assess operational impact of policy updates.
Support managed care teams in prioritizing actions and dispute resolution.

Clinical Chart Review: Build agentic AI solutions using EHR and clinical documentation.

Support patient cohort identification.
Generate clinical insights for quality improvement initiatives.
Population Market Intelligence: Analyze internal and external datasets.
Generate recommendations for service line growth.
Identify emerging healthcare market opportunities.

Required Qualifications

MUST HAVE A Bachelor''s degree in Computer Science, Engineering, Data Science, or a related technical field. Master''s degree preferred. Equivalent professional experience may be considered in lieu of an advanced degree.
Approximately 3+ years of experience in AI engineering, machine learning engineering, data engineering, software engineering, or a related technical discipline.
At least 2 years of experience designing, building, and supporting production-grade enterprise applications.
Hands-on experience developing applications using Large Language Models (LLMs).
Experience implementing Retrieval-Augmented Generation (RAG) architectures.
Experience building agentic AI applications, AI assistants, or workflow automation solutions.
Strong Python programming skills.
Experience building and consuming RESTful APIs.
Knowledge of software engineering best practices, including testing, version control, CI/CD, and maintainable application design.
Experience designing scalable enterprise application architectures.

Preferred Qualifications

Experience within healthcare, provider organizations, payer organizations, or biomedical environments.
Experience with Microsoft Azure and Azure AI services.
Familiarity with GitHub Copilot and the Microsoft AI ecosystem.
Experience with AI governance, responsible AI practices, observability, guardrails, and model monitoring.
Background in MLOps and production AI deployment.
Technical Environment
Python
Azure (preferred)
GitHub Copilot
Microsoft AI ecosystem
REST APIs
Microservices
Enterprise AI architecture
Tool-calling frameworks
Retrieval-Augmented Generation (RAG)

Dice Id: 91171446
Position Id: 9055775
Posted 2 days ago

Fitment

Dice Job Match Score™

📊 Calculating match score...

Contact the job poster

Abhishek Yadav

Recruiter @ Teknohire, Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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