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

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)

Tesseract OCR (nice to have)