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AL

Python with Agentic AI Engineer

Artech LLC
  • πŸ‡ΊπŸ‡Έ United States
  • On-site
  • 20 hours ago
  • $50 – $53 / hour
  • Python
  • AI
  • Large Language Models
  • Machine Learning
  • RAG
  • LangGraph
  • CrewAI
  • AutoGen
  • LangChain
  • Semantic Kernel
  • OpenAI
  • GPT
  • Claude
  • Gemini
  • Azure OpenAI
  • REST API
  • Microservices
  • FastAPI
  • Flask
  • Django
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Request ID: 113966-1
Title: Python with Agentic AI Engineer
Locations: Alpharetta, GA
Duration: 6 months
Pay Range: $50 - $53/Hour on W2/C2C (All inclusive)


We are seeking a highly skilled Python with Agentic AI Engineer to design, develop, and deploy next-generation AI applications powered by Large Language Models (LLMs), AI Agents, and autonomous workflows. The ideal candidate will have strong expertise in Python development, Generative AI, Agentic AI frameworks, prompt engineering, RAG architectures, and cloud-native application development.

This role involves building intelligent AI agents capable of reasoning, planning, tool usage, memory management, and multi-agent collaboration to automate complex business processes and enhance enterprise productivity.

Key Responsibilities

Design and develop AI-powered applications using Python and modern AI frameworks.
Build autonomous and semi-autonomous AI agents using frameworks such as LangGraph, CrewAI, AutoGen, LangChain, Semantic Kernel, or OpenAI Agents SDK.
Develop and optimize Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
Integrate Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, Mistral, and Azure OpenAI into enterprise applications.
Design multi-agent orchestration workflows for complex business use cases.
Implement agent memory, reasoning, tool calling, and workflow automation capabilities.
Develop REST APIs and microservices using FastAPI, Flask, or Django.
Build data pipelines for ingestion, processing, and enrichment of structured and unstructured data.
Fine-tune prompts and optimize AI system performance, latency, and cost.
Ensure AI solutions comply with security, governance, and Responsible AI standards.
Collaborate with business stakeholders, architects, data engineers, and product teams to deliver AI-driven solutions.
Monitor, troubleshoot, and enhance production AI applications.

Python with Agentic AI Engineer Β· Artech LLC

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