Executive-KDNI
INR 4000K-5199K (estimate) Executive-level Full Time
Tasks
- Apply MLOps observability and model versioning
- Build agent based AI applications
- Build frontend UI components
- Build vector search and semantic search
- Containerize services with Docker
- Create memory augmented agent systems
- Design and deploy microservices
- Develop Retrieval-augmented generation solutions
- Develop backend services
- Ensure clean code and SDLC practices
- Implement secure APIs with oauth2 and jwt
- Integrate LLM APIs
- Integrate databases and data stores
- Leverage knowledge graphs
- Orchestrate deployments with Kubernetes
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Neptune | Amazon Web Services | ArgoCD | Autogen | Azure AI | CSS3 | Cloud platform | CrewAI | Docker | Faiss | FastAPI | Flask | Google Cloud | Google Cloud Platform | Google Gemini | HTML5 | JWT | Java | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Microservices | Microsoft Azure | Milvus | MongoDB | MySQL | Neo4j | Next.js | Node.js | OAuth2 | Object-Oriented | Object-oriented design | OpenAI API | Pinecone | PostgreSQL | Prometheus | Python | RAG | REST APIs | React | SDLC | Semantic Kernel | Semantic Search | Snowflake | Spring Boot | TypeScript | Vector Search | Weaviate | Web Services | Webhooks
Education
Bachelor of Science | Master of Science | Master of Technology | PhD
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