Software Development Specialist
Tasks
- Build backend services with Python FastAPI Flask and Django
- Build multi agent orchestration with memory planning and tools
- Containerize applications with Docker
- Create AI microservices and APIs
- Deploy and manage services with Kubernetes
- Design agent-based AI systems
- Develop prompt engineering frameworks
- Implement RAG pipelines with vector databases
- Implement async processing and event driven systems
- Implement model monitoring logging and performance optimization
- Integrate LLMs into enterprise workflows
- Lead AI architecture discussions and solution design
- Mentor junior developers
- Set up CI/CD pipelines for AI applications
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | API Gateway | AWS CloudFormation | AWS Lambda | Amazon Bedrock | Amazon ECS | Amazon EKS | Amazon RDS | Amazon SageMaker | Amazon Web Services | Anthropic | Autogen | Azure AI | Azure AI Search | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure ML | Azure OpenAI | Bicep | CI/CD | Cognitive Services | CrewAI | Data integration | Django | Docker | DynamoDB | Event Driven | Event-driven architecture | Faiss | FastAPI | Flask | Git | IAM | Infrastructure as Code | Kubernetes | Kubernetes Service | Langchain | Langgraph | Language Models | Large Language Models | Logging | Microservices | Microsoft Azure | Model Monitoring | OpenAI | Pinecone | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Semantic Kernel | Terraform | VPC | Vector Databases | Weaviate | Web Services | “as-code”
Education
N/A
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