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

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

Required Qualifications

• 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