Senior AI Engineer

• Design, develop, and maintain full-stack Python applications with modern frontend frameworks
• Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications
• Create and implement efficient vector databases and knowledge stores
• Develop APIs that connect frontend interfaces with backend AI services
• Implement and maintain CI/CD pipelines for AI applications
• Monitor application performance and troubleshoot issues in production

Must have

• Minimum of 6 to 9 years of experience to implement the solution
• Skills Required:
• Multi-Agent System Design Orchestration
• Full-stack AI Integration (Frontend to Backend)
• Multi-Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex)
• Advanced Prompt Engineering LLM Fine-tuning
• Agentic Retrieval Augmented Generation (RAG)
• AI Safety, Guardrails Governance
• Enterprise Application Integration AI Orchestration
• Semantic Modeling Knowledge Graph Construction
• High-Scale Vector Database Management
• LLM Observability, Evaluation Monitoring (LLMOps)
• Main Technologies:
• Python (FastAPI / Pydantic)
• LangChain LangGraph
• Edio Render (Deployment Hosting)
• Streamlit Gradio (UI/UX for AI)
• OpenAI Open-Source Models (Llama 3, Mistral)
• Vector Databases (Pinecone, Milvus, Weaviate)
• Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Studio
• LLM Monitoring Tools (LangSmith / Arize Phoenix)

Nice to have