<div>At Arohana Tech Solutions, we are driven by a mission to elevate businesses through cutting-edge IT solutions. With a focus on innovation, scalability, and reliability, we provide tailored technology services that empower organizations to achieve their goals in an ever-evolving digital landscape. Our team of experts specializes in delivering comprehensive IT solutions, from strategy and implementation to ongoing support, ensuring that our clients stay ahead of the curve. At Arohana, we don’t just build solutions—we build partnerships for long-term success.</div>

Arohana Tech Solutions Private Limited

AI Engineer – Agentic AI
Location: USA | Work Model: Hybrid Team: Agentic AI Foundry
Job Summary
Our client is expanding its Agentic AI Foundry team to support a growing pipeline of enterprise AI use cases focused on driving significant business cost savings and automation.
We are seeking highly skilled AI Engineers with strong software development backgrounds who can independently design, build, deploy, and integrate production-ready Agentic AI solutions.
Key Responsibilities
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Design and develop Agentic AI / GenAI applications and workflows.
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Build, deploy, and integrate AI agents into enterprise applications.
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Develop LLM, RAG, and multi-agent solutions.
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Build scalable APIs and backend services using Python.
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Integrate AI solutions with enterprise data, applications, and APIs.
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Deploy and support AI solutions in cloud/production environments.
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Optimize AI applications for performance, scalability, reliability, and cost.
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Work independently in a fast-paced, startup-like environment with minimal supervision.
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Required Skills
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Strong software engineering / application development background.
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Hands-on experience building and deploying Agentic AI solutions.
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Strong Python development skills.
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Experience with LLMs, RAG, prompt/context engineering, and AI agents.
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Experience with LangChain, LangGraph, or similar agent frameworks.
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Experience with APIs, microservices, cloud, Docker/Kubernetes, or CI/CD.
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Experience integrating AI solutions with enterprise systems.
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Preferred
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MCP (Model Context Protocol)
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Databricks / Snowflake
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Vector databases / vector search
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MLflow / MLOps / LLMOps
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Azure OpenAI, AWS Bedrock, or Google Vertex AI
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Ideal Candidate
A highly technical AI/Software Engineer who can take an AI use case from concept → development → integration → production, works independently, moves quickly, and has a startup mentality..