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AI Engineer GenAI / Agentic Systems

STAFFXPERT LLC

Remote • 6d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior AI Engineer, Agentic Systems

Photon

Dallas, Texas • 7d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Lead AI Engineer (GenAI Platform, Agentic Infrastructure)

Capital One

Plano, Texas • Today

Full-time

AI Architect - Senior AI Engineer - Agentic Systems (Remote)

NTT DATA, Inc.

Remote or Plano, Texas • Today

Full-time

USD 122,648.00 - 283,906.00 per year

AI Engineer | Agentic Systems

Machinify

Remote • Today

Full-time

USD 130,000.00 - 200,000.00 per year

Staff AI Engineer, GenAI

TelaDoc

Remote • Today

Full-time

USD 200,000.00 - 230,000.00 per year

AI Engineer - GenAI Application Development

Cencora

Remote or Texas • Today

Full-time

Agentic AI Engineer

Danta Technologies

Hybrid in Dallas, Texas • 8d ago

Easy Apply

Contract

$45 - $47

Agentic AI Engineer

Nityo Infotech Corporation

Plano, Texas • 6d ago

Easy Apply

Full-time

Depends on Experience

AI Engineer - GenAI / Agentic Systems

Upward Talent

Dallas, Texas • Today

Full-time

AI Enabled Engineer (Java,GenAI, Microservices, Springboot)

Photon

Dallas, Texas • Today

Easy Apply

Full-time, Third Party

Depends on Experience

GenAI / AI Agent Engineer

SATCON Inc

Dallas, Texas • 15d ago

Easy Apply

Contract

Depends on Experience

GenAI / Conversational AI Agent Engineer Columbus, OH / Plano, TX

MetaRPO

Hybrid in Plano, Texas • Today

Easy Apply

Contract

$50 - $70

Lead AI Engineer - Agentic & Generative AI

Bravo Technical Resources

Richardson, Texas • Today

Full-time

USD 165,000.00 per year

Agentic AI Engineer

select minds

Dallas, Texas • Today

Full-time

USD 120,000.00 - 140,000.00 per year

Staff Software Engineer (Agentic AI & Cloud Solutions)

CVS Health

Richardson, Texas • Today

Full-time

USD 106,605.00 - 260,590.00 per year

Sr Agentic AI Engineer

Tixy Services LLC

Hybrid in Plano, Texas • 6d ago

Easy Apply

Third Party, Contract

Depends on Experience

GenAI and Agentic AI Engineer

Kforce Technology Staffing

Remote or Tampa, Florida • Today

Contract

$65 - $75 hourly

Senior GenAI & Agentic AI Platform Engineer

HMG America

Remote • Today

Easy Apply

Full-time

$DOE

Senior AWS Full Stack Engineer

System One

Plano, Texas • 9d ago

Easy Apply

Full-time

$108000

GenAI Developer (Generative AI & Agentic AI)

Dotcom Team, LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior AI Prototyping & Solutions Architect

DCM Infotech Limited

Dallas, Texas • Today

Easy Apply

Contract

Depends on Experience

Senior AWS Full Stack Software Engineer

System One

Plano, Texas • 9d ago

Easy Apply

Full-time

$108500

Senior Java Developer GenAI & Microservices - Dallas, TX

Photon

Dallas, Texas • 27d ago

Easy Apply

Full-time, Third Party

$80,000 - $120,000

Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$140,000 - $190,000

AI Engineer

Stefanini

Dallas, Texas • Today

Easy Apply

Contract

$55 - $60 /hr

GenAI DevOps Developer (Onsite)

Ledgent Technology

Plano, Texas • Today

Easy Apply

Contract

$50.00 - $56.00 per hour

Tester

Pyramid Consulting, Inc.

Plano, Texas • 6d ago

Easy Apply

Contract

$50 - $55

Senior AI Engineer - Agentic

Podium

Remote or Lehi, Utah • Today

Full-time

Forward Deployed Engineer

Nityo Infotech Corporation

Remote • Today

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

Amazon Web Services
Autogen
Python
Google Cloud Platform
Generative Artificial Intelligence (AI)
RESTful

Summary

AI Engineer – GenAI / Agentic Systems

Duration: 6–18 Months

Job Summary

STAFFXPERT LLC is seeking an AI Engineer – GenAI / Agentic Systems on behalf of our client in Charlotte, NC or Dallas, TX. The ideal candidate will have hands-on experience designing, developing, and deploying production-grade Generative AI solutions, with strong expertise in agentic AI, GraphRAG, LLM applications, and modern AI engineering practices.

Key Responsibilities

Design, build, and deploy production-grade GenAI applications using foundation models and advanced architectures such as GraphRAG.

Develop autonomous AI agents using frameworks such as Google ADK, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.

Take GenAI solutions from proof of concept through production while ensuring scalability, reliability, observability, and maintainability.

Design and implement RAG and GraphRAG pipelines using embeddings, vector databases, knowledge graphs, and enterprise data sources.

Develop scalable REST APIs using Python and FastAPI.

Containerize and deploy AI services using Docker and cloud platforms such as AWS, Azure, or Google Cloud Platform.

Implement LLM evaluation frameworks to measure response quality, groundedness, latency, and hallucination rates.

Apply LLMOps practices including CI/CD, prompt and model version management, automated testing, monitoring, and observability.

Collaborate with engineering teams to integrate AI capabilities into enterprise platforms.

Mentor engineers and contribute to GenAI development standards and best practices.

Evaluate emerging GenAI technologies, agent frameworks, and industry trends.

Required Qualifications

Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

5+ years of software engineering experience, including recent experience developing GenAI or LLM-powered applications.

Proven experience taking GenAI applications from proof of concept to production.

Hands-on experience with modern agent development frameworks such as Google ADK, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.

Strong Python development skills, including FastAPI and REST API development.

Experience implementing RAG or GraphRAG solutions.

Experience with embeddings, vector databases, knowledge graphs, and enterprise data integration.

Experience deploying AI workloads using Docker and AWS, Azure, or Google Cloud Platform.

Familiarity with LLMOps practices, including CI/CD, prompt management, model governance, monitoring, and evaluation.

Experience with LLM evaluation tools such as LangSmith, Ragas, DeepEval, or equivalent.

Strong communication, collaboration, analytical, and problem-solving skills.

Preferred Qualifications

Experience building enterprise-scale AI platforms and applications.

Experience with production observability and AI application monitoring.

Strong understanding of emerging agentic AI architectures and multi-agent systems.

Demonstrated ability to evaluate and adopt emerging GenAI technologies.

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: 91172109
Position Id: 2612
Posted 15 days ago

Fitment

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Similar Jobs

GenAI Engineer

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•

12d ago

Job Title: GenAI Engineer Experience: 48 Years Location: Remote / Hybrid / On-site Employment Type: Full-Time Job SummaryWe are looking for a hands-on Generative AI Engineer to design, develop, and deploy production-grade AI applications using Large Language Models (LLMs), RAG, Agentic AI, and AI orchestration frameworks. The ideal candidate should have strong Python/software engineering skills and experience integrating GenAI solutions with enterprise applications and cloud platforms. Current e

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AI Engineer - GenAI Application Development

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Today

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details About the Role We are seeking a hands-on AI Engineer to build and ship Generative AI applications - from

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Agentic AI Engineer

Remote

•

7d ago

Agentic AI Engineer Position: Agentic AI Engineer Experience Required:7+ Years Employment Type:Contract Location:Remote Canada About the Role We are seeking an experiencedAgentic AI Engineerto design, build, and deploy next-generation AI systems powered byautonomous AI agents, Large Language Models (LLMs), and intelligent workflow automation. The ideal candidate will have deep expertise in building AI agents capable of reasoning, planning, executing tasks, interacting with external tools, and c

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Senior AI Engineer / Senior Generative AI Engineer

Remote

•

6d ago

Job TitleSenior AI Engineer (Generative AI) Job Summary This role is ideal for a hands-on AI professional who is passionate about building and deploying enterprise-scale Generative AI solutions. The successful candidate will play a key role in designing, developing, and implementing AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-native technologies. The ideal candidate combines strong software engineering expert

Easy Apply

Full-time, Third Party

Depends on Experience

Job Details

Skills

Amazon Web Services
Autogen
Python
Google Cloud Platform
Generative Artificial Intelligence (AI)
RESTful

Summary

AI Engineer – GenAI / Agentic Systems

Duration: 6–18 Months

Job Summary

STAFFXPERT LLC is seeking an AI Engineer – GenAI / Agentic Systems on behalf of our client in Charlotte, NC or Dallas, TX. The ideal candidate will have hands-on experience designing, developing, and deploying production-grade Generative AI solutions, with strong expertise in agentic AI, GraphRAG, LLM applications, and modern AI engineering practices.

Key Responsibilities

Design, build, and deploy production-grade GenAI applications using foundation models and advanced architectures such as GraphRAG.

Develop autonomous AI agents using frameworks such as Google ADK, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.

Take GenAI solutions from proof of concept through production while ensuring scalability, reliability, observability, and maintainability.

Design and implement RAG and GraphRAG pipelines using embeddings, vector databases, knowledge graphs, and enterprise data sources.

Develop scalable REST APIs using Python and FastAPI.

Containerize and deploy AI services using Docker and cloud platforms such as AWS, Azure, or Google Cloud Platform.

Implement LLM evaluation frameworks to measure response quality, groundedness, latency, and hallucination rates.

Apply LLMOps practices including CI/CD, prompt and model version management, automated testing, monitoring, and observability.

Collaborate with engineering teams to integrate AI capabilities into enterprise platforms.

Mentor engineers and contribute to GenAI development standards and best practices.

Evaluate emerging GenAI technologies, agent frameworks, and industry trends.

Required Qualifications

Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

5+ years of software engineering experience, including recent experience developing GenAI or LLM-powered applications.

Proven experience taking GenAI applications from proof of concept to production.

Hands-on experience with modern agent development frameworks such as Google ADK, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.

Strong Python development skills, including FastAPI and REST API development.

Experience implementing RAG or GraphRAG solutions.

Experience with embeddings, vector databases, knowledge graphs, and enterprise data integration.

Experience deploying AI workloads using Docker and AWS, Azure, or Google Cloud Platform.

Familiarity with LLMOps practices, including CI/CD, prompt management, model governance, monitoring, and evaluation.

Experience with LLM evaluation tools such as LangSmith, Ragas, DeepEval, or equivalent.

Strong communication, collaboration, analytical, and problem-solving skills.

Preferred Qualifications

Experience building enterprise-scale AI platforms and applications.

Experience with production observability and AI application monitoring.

Strong understanding of emerging agentic AI architectures and multi-agent systems.

Demonstrated ability to evaluate and adopt emerging GenAI technologies.

Dice Id: 91172109
Position Id: 2612
Posted 15 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

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

Similar Jobs

GenAI Engineer

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