AI-Engineer/Lead

Qualifications

• 3 6 years of hands-on experience inAI/ML engineering, including recent work withLLMsandLangChain
• Proficiency with
• Google 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, or
• Knowledge ofMLOps workflows, including tools likeMLflow,Weights & Biases, or
• Vertex AI Experiments
• Experience working withvector stores(e.g., FAISS, Pinecone, Weaviate) in agent pipelines
• Familiarity withretrieval-based QA, embeddings, and prompt engineering techniques
• Lang Graphor similar agent orchestration frameworks
• Familiarity withcloud-native deploymentand DevOps tools (Terraform, Docker, Google Cloud Platform Cloud Build)
• Background inUX/UI design thinkingor rapid prototyping for AI-driven applications
• Experience integrating LLMs with external APIs or private knowledge sources

Responsibilities

• 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
• Design and implementLLM-based agentsusingLangChain, integrated with
• Buildinteractive UIsusingStreamlitor similar frameworks to showcase and test AI agent capabilities
• Developend-to-end ML pipelinesfor training, evaluation, and deployment using tools like
• Vertex Pipelines,Kubeflow, orAirflow
• Integrate with APIs, vector databases, and knowledge sources to enable
• RAG (Retrieval-Augmented Generation)workflows
• Deploy scalable, secure AI services using
• CI/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

Full Description

Job Description:

Job Title:AI Engineer/Lead

Location:Atlanta, GA-Hybrid

Visa: H1B,L2TN and USC

Exp:10 years

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.

Preferred Qualifications:

Familiarity withcloud-native deploymentand DevOps tools (Terraform, Docker, Google Cloud Platform Cloud Build).

Background inUX/UI design thinkingor rapid prototyping for AI-driven applications.

Experience integrating LLMs with external APIs or private knowledge sources.