IT Lead Consultant | Cloud Platform | Google Cloud Architecture
Job Location:
Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
5 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: GEN AI engineer & Agentic AI Engineer
Work Location : Charlotte NC
Vendor Rate: 72- 79.80
Contract duration: 6-12 months depending performance
Target Start Date: 01-July-2026
Does this position require Visa independent candidates only No
**hybrid work set-up**NC office**
Job Details:
Must Have Skills
GEN AI Agentic AI Python RAG LLM LangChain LangGraph MCP FastAPI Microservices CI/CD Cloud (AWS GCP) ETL Distributed Systems React JS Django Flask
Nice to have skills
Prompt Engineering Kafka Docker Kubernetes Terraform Jenkins GitHub Actions Databases (PostgreSQL MongoDB Oracle Snowflake
We are seeking a highly skilled Python Developer with experience in building scalable enterprise applications and AI-powered platforms. The candidate has hands-on experience in Generative AI LLM-driven applications and agentic AI solutions using frameworks like LangChain LangGraph MCP and RAG pipelines. Strong experience in API development microservices architecture ETL pipelines and cloud-native solutions across AWS and GCP environments.
Key Responsibilities:
Design and implement Generative AI models for text image or multimodal applications.
Design and develop scalable full-stack enterprise applications using Python FastAPI and .
Build and optimize RESTful and asynchronous APIs for secure enterprise integrations and AI-driven applications.
Develop and implement AI agent frameworks using MCP LangChain and LangGraph for enterprise use cases.
Design and implement Retrieval-Augmented Generation (RAG) pipelines for intelligent search and contextual query processing.
Develop microservices and distributed systems for AI agent lifecycle management and real-time data processing.
Implement CI/CD pipelines and automate deployments using Jenkins GitHub Actions Docker and cloud services.
Work with databases and data pipelines to process large-scale structured and unstructured datasets
Required Skills & Qualifications:
4 years of experience in Python development AI applications and enterprise systems.
Hands-on experience with Generative AI LLMs and RAG-based solutions using LangChain and vector databases.
Experience building agentic AI workflows using LangGraph and MCP frameworks.
Strong experience in API and microservices development using FastAPI Django and Flask.
Experience in CI/CD automation and containerized deployments using Docker and Kubernetes.
Experience working on cloud platforms such as AWS and GCP with cloud-native architectures.
Strong knowledge of databases including PostgreSQL MongoDB Oracle Snowflake and Teradata.
Experience with ETL pipelines distributed data processing and tools like PySpark Pandas and AWS Glue.
Experience with Kafka event streams and real-time data pipelines.
Strong proficiency in Agile SDLC performance optimization and scalable system design.
Minimum years of experience
4 years
Certifications Needed :Yes
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Strong experience in developing AI-powered applications RAG pipelines and agentic AI frameworks using Python LangChain LangGraph and MCP.
Strong experience in building scalable APIs microservices and cloud-native deployments with CI/CD automation.
Strong experience in data processing ETL pipelines and integrating enterprise systems with AI solutions.
Interview Process (Is face to face required) Yes
Mandatory (Either in Dallas or in Charlotte at Client office)
Any additional information you would like to share about the project specs/ nature of work
na Project Code :of Observability Agentic AI Use cases f
Work Location : Charlotte NC
Vendor Rate: 72- 79.80
Contract duration: 6-12 months depending performance
Target Start Date: 01-July-2026
Does this position require Visa independent candidates only No
**hybrid work set-up**NC office**
Job Details:
Must Have Skills
GEN AI Agentic AI Python RAG LLM LangChain LangGraph MCP FastAPI Microservices CI/CD Cloud (AWS GCP) ETL Distributed Systems React JS Django Flask
Nice to have skills
Prompt Engineering Kafka Docker Kubernetes Terraform Jenkins GitHub Actions Databases (PostgreSQL MongoDB Oracle Snowflake
We are seeking a highly skilled Python Developer with experience in building scalable enterprise applications and AI-powered platforms. The candidate has hands-on experience in Generative AI LLM-driven applications and agentic AI solutions using frameworks like LangChain LangGraph MCP and RAG pipelines. Strong experience in API development microservices architecture ETL pipelines and cloud-native solutions across AWS and GCP environments.
Key Responsibilities:
Design and implement Generative AI models for text image or multimodal applications.
Design and develop scalable full-stack enterprise applications using Python FastAPI and .
Build and optimize RESTful and asynchronous APIs for secure enterprise integrations and AI-driven applications.
Develop and implement AI agent frameworks using MCP LangChain and LangGraph for enterprise use cases.
Design and implement Retrieval-Augmented Generation (RAG) pipelines for intelligent search and contextual query processing.
Develop microservices and distributed systems for AI agent lifecycle management and real-time data processing.
Implement CI/CD pipelines and automate deployments using Jenkins GitHub Actions Docker and cloud services.
Work with databases and data pipelines to process large-scale structured and unstructured datasets
Required Skills & Qualifications:
4 years of experience in Python development AI applications and enterprise systems.
Hands-on experience with Generative AI LLMs and RAG-based solutions using LangChain and vector databases.
Experience building agentic AI workflows using LangGraph and MCP frameworks.
Strong experience in API and microservices development using FastAPI Django and Flask.
Experience in CI/CD automation and containerized deployments using Docker and Kubernetes.
Experience working on cloud platforms such as AWS and GCP with cloud-native architectures.
Strong knowledge of databases including PostgreSQL MongoDB Oracle Snowflake and Teradata.
Experience with ETL pipelines distributed data processing and tools like PySpark Pandas and AWS Glue.
Experience with Kafka event streams and real-time data pipelines.
Strong proficiency in Agile SDLC performance optimization and scalable system design.
Minimum years of experience
4 years
Certifications Needed :Yes
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Strong experience in developing AI-powered applications RAG pipelines and agentic AI frameworks using Python LangChain LangGraph and MCP.
Strong experience in building scalable APIs microservices and cloud-native deployments with CI/CD automation.
Strong experience in data processing ETL pipelines and integrating enterprise systems with AI solutions.
Interview Process (Is face to face required) Yes
Mandatory (Either in Dallas or in Charlotte at Client office)
Any additional information you would like to share about the project specs/ nature of work
na Project Code :of Observability Agentic AI Use cases f
