Project description

We are looking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance.

Responsibilities

- Design, develop, and maintain full-stack Python applications with contemporary 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

Skills

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

Tesseract OCR (nice to have)

📌 Senior AI Engineer (Tamil Nadu)
🏢 Luxoft
📍 Tamil Nadu