We are looking for an Agentic AI Engineer with hands-on experience building LLM-powered applications using LangChain, LangGraph, or similar frameworks. This role is ideal for someone early in their career who has worked on AI projects, internships, or real-world implementations and wants to grow in the rapidly evolving Agentic AI ecosystem.
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Python Development
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LangChain and/or LangGraph
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LLM Applications & Prompt Engineering
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Agentic AI Concepts (Agents, Tools, Chains, Memory, RAG)
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OpenAI, Anthropic, AWS Bedrock, or similar LLM APIs
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Backend API Development
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Problem Solving & System Design
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Build and enhance Agentic AI workflows and LLM-powered applications using LangChain, LangGraph, and related frameworks.
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Develop agents, tool-calling pipelines, and Retrieval-Augmented Generation (RAG) solutions.
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Integrate LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or similar platforms.
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Design prompts, manage context, and handle structured outputs for AI applications.
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Build backend APIs and services to support AI-powered applications.
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Work with no-code/low-code platforms such as Langflow and workflow automation tools.
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Participate in solution design, agent architecture, and workflow development.
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Debug, optimize, and improve AI workflows and multi-agent systems.
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Stay current with emerging trends in Agentic AI, LLMs, and AI engineering.
