Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
AI
MLOps
Job Details
Job Title:AI Engineer/Lead
Location:Atlanta, GA ( 3 days in Office )
Rate: $55/Hr
Note: IN-person Interview (Single round)
Must have Skills : Agent Development, MLOps & UI (Google Cloud Platform Vertex AI + LangChain)
Duration: 6-12 Months Contract
Job Summary:
We are seeking ahands-on AI Engineerto design, build, and deploy intelligent AI agents usingGoogle Cloud Platform Vertex AI,LangChain, and modern UI tools likeStreamlit. The ideal candidate will bring together skills in large language models (LLMs),agent orchestration,MLOps, anduser-friendly interface developmentto create powerful and accessible AI solutions.
Duration: 6-12 Months Contract
Job Summary:
We are seeking ahands-on AI Engineerto design, build, and deploy intelligent AI agents usingGoogle Cloud Platform Vertex AI,LangChain, and modern UI tools likeStreamlit. The ideal candidate will bring together skills in large language models (LLMs),agent orchestration,MLOps, anduser-friendly interface developmentto create powerful and accessible AI solutions.
Key Responsibilities:
Design and implementLLM-based agentsusingLangChain, integrated withGoogle Cloud Platform Vertex AIservices.
Buildinteractive UIsusingStreamlitor similar frameworks to showcase and test AI agent capabilities.
Developend-to-end ML pipelinesfor training, evaluation, and deployment using tools likeVertex Pipelines,Kubeflow, orAirflow.
Integrate with APIs, vector databases, and knowledge sources to enableRAG (Retrieval-Augmented Generation)workflows.
Deploy scalable, secure AI services usingCI/CD pipelines, infrastructure-as-code, and version-controlled model registries.
Monitor model performance, manage experiments, and optimize agent behavior in production environments.
Work cross-functionally with product, design, and engineering teams to deliver intuitive, high-impact AI-powered applications.
Required Qualifications:
3 6 years of hands-on experience inAI/ML engineering, including recent work withLLMsandLangChain.
Proficiency withGoogle Cloud Platform Vertex AItools such as Pipelines, Model Registry, Training, and Endpoints.
StrongPython programming skills, with experience inFastAPI,Flask, or similar web frameworks.
Demonstrated experience building interactive dashboards or tools usingStreamlit,Gradio, orDash.
Knowledge ofMLOps workflows, including tools likeMLflow,Weights & Biases, orVertex AI Experiments.
Experience working withvector stores(e.g., FAISS, Pinecone, Weaviate) in agent pipelines.
Familiarity withretrieval-based QA, embeddings, and prompt engineering techniques.
Experience withLang Graphor similar agent orchestration frameworks.
Design and implementLLM-based agentsusingLangChain, integrated withGoogle Cloud Platform Vertex AIservices.
Buildinteractive UIsusingStreamlitor similar frameworks to showcase and test AI agent capabilities.
Developend-to-end ML pipelinesfor training, evaluation, and deployment using tools likeVertex Pipelines,Kubeflow, orAirflow.
Integrate with APIs, vector databases, and knowledge sources to enableRAG (Retrieval-Augmented Generation)workflows.
Deploy scalable, secure AI services usingCI/CD pipelines, infrastructure-as-code, and version-controlled model registries.
Monitor model performance, manage experiments, and optimize agent behavior in production environments.
Work cross-functionally with product, design, and engineering teams to deliver intuitive, high-impact AI-powered applications.
Required Qualifications:
3 6 years of hands-on experience inAI/ML engineering, including recent work withLLMsandLangChain.
Proficiency withGoogle Cloud Platform Vertex AItools such as Pipelines, Model Registry, Training, and Endpoints.
StrongPython programming skills, with experience inFastAPI,Flask, or similar web frameworks.
Demonstrated experience building interactive dashboards or tools usingStreamlit,Gradio, orDash.
Knowledge ofMLOps workflows, including tools likeMLflow,Weights & Biases, orVertex AI Experiments.
Experience working withvector stores(e.g., FAISS, Pinecone, Weaviate) in agent pipelines.
Familiarity withretrieval-based QA, embeddings, and prompt engineering techniques.
Experience withLang Graphor similar agent orchestration frameworks.
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.