Sr AI Developer/Agentic AI Engineer

Job Description

We are seeking for highly skilled Software Engineer with strong expertise in modern Python development and Large Language Model (LLM) ecosystems.

This role focuses on building scalable, production-grade AI systems, leveraging advanced API development, retrieval-augmented generation (RAG), and agentic frameworks.

You will work on cutting-edge AI solutions, contributing to the design, development, and deployment of intelligent systems within a distributed enterprise environment

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

• 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

• 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

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

• Strong proficiency in Python with experience in asynchronous programming
• Hands-on experience with FastAPI or similar frameworks
• Experience building scalable backend systems
• Solid understanding of LLM concepts and prompt engineering
• Experience with RAG pipelines and vector databases (pgvector preferred)
• Familiarity with distributed systems and debugging techniques
• Experience with Docker and CI/CD pipelines