Senior Associate – Conversational AI / RAG Engineer
Elfonze Technologies Private Limited (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy enterprise-grade conversational AI and Retrieval-Augmented Generation (RAG) solutions using large language models and knowledge platforms.
- Develop and integrate multi-turn conversational experiences, AI copilots, and enterprise chatbots with internal and external data sources and enterprise workflows.
- Engineer scalable AI microservices with Python/FastAPI, implement monitoring, evaluation, and governance frameworks focusing on response quality, security, and Responsible AI standards.
Minimum Requirements
- Hands-on experience with Conversational AI, Retrieval-Augmented Generation, and vector database/search technologies (e.g., Pinecone, Qdrant).
- Proficient in Python programming and building AI microservices using FastAPI, including REST APIs and cloud-native applications.
- Experience integrating enterprise knowledge sources such as SharePoint, Microsoft 365, Confluence, and ServiceNow.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience deploying and managing enterprise knowledge assistants with strong skills in LLM integration, prompt engineering, and reducing hallucinations.
- Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and containerization using Docker and Kubernetes.
- Competent in AI security, observability, evaluation frameworks and Responsible AI governance for scalable enterprise AI applications.