Executive-KDNI
INR 4000K-5199K (estimate) Executive-level Full Time
Tasks
- Apply MLOps and model versioning
- Build agent-based applications
- Build vector semantic search with vector databases
- Containerize services with Docker
- Create React UI components
- Design and deploy microservices
- Develop backend services with Python or Node or Java
- Develop retrieval-augmented generation systems
- Implement Knowledge Graphs
- Implement multi-agent workflows
- Implement secure OAuth2 JWT authentication
- Improve observability with monitoring tools
- Integrate LLM APIs
- Integrate structured and semi structured databases
- Orchestrate deployments with Kubernetes
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Amazon Neptune | ArgoCD | Autogen | Azure AI | CSS3 | CrewAI | Docker | Faiss | FastAPI | Flask | Google Gemini | HTML5 | JWT | Java | Kubernetes | Langchain | Langgraph | Llama | MLflow | Milvus | Mistral | MongoDB | Multi-Agent | Multi-Agent Systems | MySQL | Neo4j | Next.js | Node.js | OAuth2 | Observability | OpenAI API | Pinecone | PostgreSQL | Prometheus | Python | RAG | REST API | React | Retrieval-Augmented Generation | SDLC | Semantic Kernel | Snowflake | Spring Boot | TypeScript | Vector Databases | Weaviate
Education
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Learning Engineer | Machine Learning Engineer | Stack Developer
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