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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy AI-powered applications including Generative AI, LLM-based chatbots, AI agents, and intelligent automation workflows.
Integrate AI models with APIs, databases, and enterprise systems to build practical AI business process automations and decision support solutions.
Rapidly prototype and convert AI use cases from idea to production-ready solutions with focus on hands-on AI engineering and innovation.
Minimum Requirements
Strong hands-on Python development skills with experience in Generative AI, LLMs, and AI agent development.
Experience using OpenAI or similar LLM APIs and knowledge of prompt engineering and RAG systems.
Hands-on development experience with AI integration including REST APIs, backend frameworks (FastAPI/Flask), SQL databases, and container technologies like Docker.
Work Experience Required: 0–5 years of demonstrated hands-on AI development through projects or equivalent practical application.
Ideal Candidate Profile
Capable of independently taking AI solutions from prototype to operational deployment emphasizing practical implementation over theoretical knowledge.
Experience with multi-agent AI architectures and evolving AI frameworks such as LangChain, AutoGen, or similar.
Demonstrates actual AI development accomplishments through production projects, client work, or open-source contributions rather than relying solely on years of software experience.