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Artificial Intelligence Engineer - LLM/RAG

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Description

Job Description :

We are looking for an AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. The ideal candidate should have strong Python programming skills and experience building scalable AI solutions on cloud platforms.

Key Responsibilities :

- Develop AI applications using LLMs, RAG pipelines, and multi-agent workflows.

- Integrate AI models through APIs such as OpenAI, Gemini, or Vertex AI.

- Build scalable AI pipelines and optimize model performance.

- Collaborate with cross-functional teams to deliver production-ready AI solutions.

- Follow best practices for testing, deployment, and documentation.

Required Skills :

- 5+ years of software engineering experience with Python.

- Hands-on experience with LLMs, RAG, prompt engineering, and vector databases.

- Experience with AWS/GCP, Docker, Kubernetes, and MLOps practices.

- Strong understanding of backend development and cloud-native applications.

Preferred Skills :

- Experience with LangChain, LlamaIndex, or similar AI frameworks.

- Knowledge of conversational AI, responsible AI, and real-time AI applications.

- Exposure to open-source AI/ML projects is a plus.

Education :


- UG : B.Tech / B.E. in Any Specialization

- PG : M.Tech in Any Specialization, MCA in Any Specialization

Key Skills :

- Artificial Intelligence, Python, AWS/GCP, Langchain, Cloud Native, Backend Development

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