AI Engineer - India
Tasks
- Build document extraction and classification
- Build production AI capabilities
- Design Neo4j graph models and queries
- Design and document AI workflows
- Develop Kafka event pipelines
- Develop unit integration and AI evaluation tests
- Implement MCP tool servers
- Implement human-in-the-loop workflows
- Implement information retrieval with RAG
- Integrate enterprise LLM services
- Support code reviews and deployment readiness
Perks/Benefits
- Career pathing
- Flexi benefit plan
- Focus time Fridays
- Food at work
- Group medical coverage
- Group personal accidental insurance
- Group term life insurance
- Hybrid workplace
Skills/Tech-stack
Azure APIM | Cloud platform | Cypher | Embeddings | FastAPI | Google Cloud | Google Cloud Platform | Kafka | LlamaParse | Llamaindex | Neo4j | Node.js | OAuth2 | PostgreSQL | Prompt engineering | Python | RAG | RBAC | REST APIs | Retrieval-Augmented Generation | TypeScript | Vector Search | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer
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