Job Summary

Generative AI Developer with 3-9 years of experience in designing, developing, and deploying AI-powered applications. The candidate should have hands-on experience with LLMs, RAG, prompt engineering, and AI agents using frameworks such as LangChain, Semantic Kernel, or LlamaIndex. Solid proficiency in Python, API integration, vector databases, and cloud platforms (Azure/AWS/GCP) is required. Experience with OpenAI, Azure OpenAI, Hugging Face, and modern AI application architectures is highly desirable. The role involves collaborating with cross-functional teams to build scalable, secure, and production-ready GenAI solutions while ensuring performance, governance, and responsible AI practices. Generative AI Developer with 3-5 years of experience in designing, developing, and deploying AI-powered applications. The candidate should have hands-on experience with LLMs, RAG, prompt engineering, and AI agents using frameworks such as LangChain, Semantic Kernel, or LlamaIndex. Strong proficiency in Python, API integration, vector databases,



and cloud platforms (Azure/AWS/GCP) is required.

Experience with OpenAI, Azure OpenAI, Hugging Face, and modern AI application architectures is highly desirable. The role involves collaborating with cross-functional teams to build scalable, secure, and production-ready GenAI solutions while ensuring performance, governance, and responsible AI practices.

Key Skills

- LLMs
- RAG
- prompt engineering
- AI agents
- LangChain
- Semantic Kernel
- LlamaIndex
- Python
- API integration

Responsibilities

- Collaboration with cross-functional teams to build scalable, secure, and production-ready GenAI solutions while ensuring performance, governance, and responsible AI practices.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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