Hybrid Agentic AI Engineer — Build Production-Ready AI Agents

Arohana Tech Solutions Private Limited

Atlanta (GA)

Hybrid

USD 120,000 - 170,000

Full time

2 days ago
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Job summary

Arohana Tech Solutions Private Limited in Atlanta offers a hybrid role for an AI Engineer to join the Agentic AI Foundry, driving production-ready AI solutions. You will design, build, deploy, and integrate AI agents with enterprise applications, emphasizing cost savings and automation.

Responsibilities include building GenAI workflows, integrating with data sources, and deploying scalable backend services using Python in cloud environments.

Qualifications

  • Experience designing and deploying Agentic AI solutions.
  • Strong Python development skills.
  • Hands-on experience with LLMs, RAG, and AI agents.
  • Familiarity with LangChain, LangGraph or similar frameworks.
  • Experience with APIs, microservices, cloud, Docker/Kubernetes, or CI/CD.

Responsibilities

  • Design and develop Agentic AI / GenAI applications and workflows.
  • Build, deploy, and integrate AI agents into enterprise applications.
  • Develop LLM, RAG, and multi-agent solutions.
  • Build scalable APIs and backend services using Python.
  • Integrate AI solutions with enterprise data, applications, and APIs.
  • Deploy and support AI solutions in cloud/production environments.
  • Optimize AI applications for performance, scalability, reliability, and cost.
  • Work independently in a fast-paced, startup-like environment with minimal supervision.

Skills

Python development
LLMs & RAG
LangChain/LangGraph
APIs & microservices
Docker/Kubernetes
Cloud integration
Software engineering

Job description

Arohana Tech Solutions Private Limited in Atlanta offers a hybrid role for an AI Engineer to join the Agentic AI Foundry, driving production-ready AI solutions. You will design, build, deploy, and integrate AI agents with enterprise applications, emphasizing cost savings and automation.

Responsibilities include building GenAI workflows, integrating with data sources, and deploying scalable backend services using Python in cloud environments.

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