Analyst-KDNI
Bangalore, Karnataka, India
INR 300K-360K (estimate) Entry-level Full Time
Tasks
- Build agent-based applications
- Build backend services
- Build knowledge graphs
- Build multi-agent systems
- Build semantic search systems
- Build vector search experiences
- Containerize services with Docker
- Create real time interactions with webhooks
- Design microservices architecture
- Develop frontend/UI components
- Develop secure APIs
- Implement JWT authorization
- Implement MLOps workflows
- Implement OAuth2 authentication
- Implement data integration with MongoDB
- Implement data integration with MySQL
- Implement data integration with PostgreSQL
- Implement memory augmented agents
- Implement retrieval-augmented generation
- Integrate Azure AI APIs
- Integrate Google Gemini APIs
- Integrate Meta AI APIs
- Integrate OpenAI APIs
- Integrate Snowflake
- Orchestrate deployments with Kubernetes
- Set up continuous delivery with ArgoCD
- Set up monitoring with Prometheus
- Use MLflow model tracking
- Write API documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API documentation | Amazon Neptune | Amazon Web Services | ArgoCD | Autogen | Azure | Azure AI | CSS3 | Clean Code | CrewAI | Docker | Faiss | FastAPI | Flask | Gemini API | Google Cloud | Google Gemini | Google Gemini API | HTML5 | JWT | JavaScript | Kubernetes | Langgraph | MLflow | Milvus | MongoDB | MySQL | Neo4j | Next.js | Node.js | OAuth2 | Object-Oriented | Object-oriented design | OpenAI API | Pinecone | PostgreSQL | Prometheus | Python | RAG | React | SDLC | Semantic Kernel | Snowflake | Spring Boot | TypeScript | Weaviate | Web Services
Education
Roles
AI | AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Learning Engineer | Machine Learning Engineer | Stack Developer
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