10850 – Sr. Software Engineer, Applied AI
Tasks
- Build RAG pipelines
- Collaborate with cross-functional teams
- Deploy production ready AI systems
- Design and implement LLM applications
- Develop agentic workflow systems
- Develop full-stack AI applications
- Ensure AI governance privacy and security compliance
- Evaluate and optimize LLMs
- Implement ML monitoring and observability
- Implement multi-agent orchestration
- Integrate AI models with backend services
- Integrate with enterprise platforms
- Prototype PoCs and MVPs
- Refine prompts and iterate model performance
Perks/Benefits
Skills/Tech-stack
AI Foundry | API Development | AWS Bedrock | AWS SageMaker | Agent Orchestration | Auto agents | Autogen | Azure AI | Azure AI Foundry | Azure OpenAI | CI/CD | ChromaDB | CrewAI | Docker | Embeddings | Faiss | Hugging Face | Kubernetes | LLM | Langgraph | Llamaindex | MLOps | Microservices | Model Context Protocol | Model Monitoring | Multi-Agent | Multi-agent orchestration | N8n | NoSQL Databases | Observability | Pinecone | Prompt engineering | PyTorch | Python | RAG | React | Relational databases | TensorFlow | Vector Databases
Education
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