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GenAI Engineer

Tech3pillars Technologies

NULL, VA

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Automation, Business Solutions, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Processing, Database Extract Transform and Load (ETL), Distributed Computing, Django, Docker, Engineering, Flask, GCP (Good Clinical Practices), GitHub, Jenkins, MCP - Microsoft Certified Professional, Microservices, Modeling Languages, MongoDB, Oracle, PostgreSQL, Python Programming/Scripting Language, REST (Representational State Transfer), Sales Pipeline, Scalable System Development, Search Technology, Semantic Search, Snowflake Schema, Software Engineering, System Integration (SI), Unstructured Data, Use Cases
LOCATION
NULL, VA
POSTED
Today

Job Title: GenAI Engineer
Location: Charlotte, NC

Job Summary

We are seeking a highly skilled GenAI Engineer & Agentic AI Engineer with strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, and MCP frameworks. The ideal candidate will have hands-on experience building enterprise-grade AI applications, scalable APIs, microservices, and cloud-native solutions across AWS and GCP environments.

Key Responsibilities

  • Design, develop, and deploy Generative AI applications leveraging LLMs for enterprise use cases.
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and semantic search technologies.
  • Develop Agentic AI solutions using LangChain, LangGraph, MCP, and multi-agent orchestration frameworks.
  • Design and implement scalable RESTful and asynchronous APIs using FastAPI, Django, and Flask.
  • Build cloud-native AI platforms and microservices architectures on AWS and GCP.
  • Develop distributed systems for AI agent lifecycle management and real-time data processing.
  • Create and manage ETL pipelines for structured and unstructured enterprise data.
  • Integrate enterprise systems with AI-powered solutions and automation frameworks.
  • Implement CI/CD pipelines using Jenkins, GitHub Actions, Docker, Kubernetes, and Terraform.

Required Skills

Generative AI & Agentic AI

  • Generative AI
  • Large Language Models (LLMs)
  • Agentic AI Frameworks
  • LangChain
  • LangGraph
  • MCP (Model Context Protocol)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Vector Databases

Python Development

  • Python
  • FastAPI
  • Django
  • Flask
  • REST APIs
  • Async APIs
  • Microservices Architecture

Cloud & DevOps

  • AWS
  • GCP
  • Docker
  • Kubernetes
  • Terraform
  • Jenkins
  • GitHub Actions
  • CI/CD Automation

Data Engineering

  • ETL Pipelines
  • PySpark
  • Pandas
  • AWS Glue
  • Distributed Data Processing
  • Kafka
  • Real-Time Data Streaming

Databases

  • PostgreSQL
  • MongoDB
  • Oracle

Front-End

  • React.js

Nice to Have

  • Advanced Prompt Engineering experience
  • Kafka-based event-driven architectures
  • Terraform Infrastructure as Code
  • Snowflake Data Cloud
  • Multi-agent orchestration frameworks
  • AI observability and monitoring tools
  • MLOps experience

Top 3 Responsibilities

  1. Build AI-powered applications, RAG pipelines, and Agentic AI frameworks using Python, LangChain, LangGraph, and MCP.
  2. Develop scalable APIs, microservices, and cloud-native solutions with CI/CD automation.
  3. Design and optimize ETL pipelines and enterprise integrations supporting AI-driven business solutions.

About the Company

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Tech3pillars Technologies