Sr AI Developer/Agentic AI Engineer

Core Programming & Backend Development

• Develop robust, scalable applications using Python (intermediate to advanced level)
• Implement asynchronous programming patterns for high-performance systems
• Design and build RESTful APIs using FastAPI
• Write clean, maintainable, production-grade code
• Develop and execute unit and integration tests
• Debug and resolve issues in complex distributed systems

LLM Fundamentals & Prompt Engineering

• Design and optimize prompts for various LLM use cases
• Understand tokenization, context windows, and model limitations
• Select appropriate models based on performance and cost trade-offs
• Mitigate hallucinations and ensure grounded, reliable responses

Retrieval-Augmented Generation (RAG)

• Build and maintain document ingestion and preprocessing pipelines
• Implement chunking strategies (semantic, recursive, sliding window)
• Generate and manage embeddings
• Work with vector databases (e.g., pgvector)
• Design hybrid search systems combining keyword (BM25) and semantic search
• Optimize re-ranking and relevance tuning mechanisms

Agentic Frameworks & Orchestration

• Design and implement multi-agent systems
• Manage conversational and long-term memory
• Build workflow orchestration pipelines for AI agents