Senior Consultant
Tasks
- Build AI agents chatbot and document pipelines
- Build data pipelines for relational and NoSQL databases
- Build messaging integration with Kafka and RabbitMQ
- Build secure REST APIs with JWT OAuth2 SSO
- Containerize and deploy applications with Docker and Kubernetes
- Design enterprise Java architectures
- Develop Python services with FastAPI and Flask
- Develop microservices with Spring Boot
- Implement API gateway and caching
- Implement CI/CD pipelines
- Implement enterprise integration patterns
- Integrate LLMs with RAG using vector databases
- Monitor application performance with Splunk ELK Prometheus Grafana AppDynamics
- Optimize database queries and schemas
- Orchestrate AI workflows with LangChain LlamaIndex Semantic Kernel
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | API Gateway | AWS | AppDynamics | Azure DevOps | CI/CD | Caching | Cassandra | ChromaDB | Concurrency | Couchbase | Design Patterns | Docker | ELK Stack | Embeddings | Enterprise Integration | Enterprise Integration Patterns | Faiss | FastAPI | Flask | Function Calling | GitHub Actions | GitLab CI | Google Cloud | Grafana | Graph Databases | Integration Patterns | JWT | Java | Java collections | Jenkins | Kafka | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Microservices | Microsoft Azure | Milvus | MongoDB | Multithreading | MySQL | OAuth 2.0 | Object-Oriented | Object-oriented programming | OpenShift | Oracle | Pinecone | PostgreSQL | Prometheus | Prompt engineering | PyTorch | Python | RAG | REST | RabbitMQ | Redis | Retrieval-Augmented Generation | SOLID | SQL | SSO | Scikit-learn | Semantic Kernel | Semantic Search | Single Sign-On | Splunk | Spring Boot | Spring Framework | TensorFlow | Vector Databases
Education
N/A
Roles
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