AI Engineer
Allucent (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect, develop, and deploy scalable AI-driven systems using Python, FastAPI, Azure OpenAI, integrating with Cosmos DB and Azure Cognitive Search.
- Build and maintain microservices and design Retrieval-Augmented Generation (RAG) pipelines for AI and data processing workflows.
- Integrate advanced external and internal search tools (Perplexity, Bing API), document APIs and AI workflows for scalability and maintenance.
Minimum Requirements
- 5-8 years of hands-on experience in AI/ML or full-stack development with AI integration.
- Degree required: BE, B.Tech, MCA, or MSc in Computer Science, Artificial Intelligence, or Data Engineering.
- Proficiency with Python, FastAPI, Node.js, React, Azure OpenAI, Azure Cognitive Search, Cosmos DB, and RAG pipelines.
- Experience with MS Visual Studio Code, Git, Azure DevOps, REST APIs, and familiarity with prompt engineering, vector search, embedding management.
Ideal Candidate Profile
- Experienced in designing and operationalizing AI applications within cloud environments, specifically Azure ecosystem.
- Skilled in integrating advanced search/retrieval architectures, evidencing depth in RAG pipeline optimization.
- Capable of end-to-end AI solution ownership from development through CI/CD deployment and documentation in a research-driven tech environment.