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2 weeks ago
We are seeking a highly skilled AI Engineer to join our organization.
About the Role:
The ideal candidate will have a strong background in Full Stack engineering with experience in DevOps, LLM-based applications, and automation tools.
Key Responsibilities:
- Implement RAG pipelines and work with MCP (Model Context Protocol) for AI integrations.
- Work with APIs of popular LLMs (OpenAI, Anthropic, etc.) to integrate AI features into applications.
- Build and maintain web applications (frontend & backend).
- Contribute to creating responsive and AI-driven user experiences.
- Support deployment using CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure).
Required Skills & Qualifications:
- 1-2 years of experience in software development / full stack engineering.
- Basic working knowledge of DevOps practices (CI/CD, Docker, cloud deployments).
- Exposure to LLM-based development and tools such as Codex, Clause Code, or GitHub Copilot.
- Familiarity with RAG pipelines, MCP integrations, and vector databases (Pinecone, FAISS, Weaviate).
- Hands-on experience with at least one automation tool (n8n, Make.com, Zapier).
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