AI Software Engineer - Agentic Systems & RAG - Esprit Engineering

Key Responsibilities

• Architect and implement agentic AI pipelines that integrate Retrieval-Augmented Generation (RAG) with large language models.
• Develop and maintain scalable Python services for data ingestion, indexing, and real‑time inference.
• Collaborate with data scientists to fine‑tune models, evaluate performance, and iterate on architecture.
• Deploy solutions on AWS, ensuring high availability, security, and cost efficiency.
• Document design decisions, create technical specifications, and mentor junior engineers.

Requirements

• Strong experience in Python and modern ML frameworks (PyTorch, TensorFlow).
• Hands‑on knowledge of RAG, vector databases, and LLM fine‑tuning.
• Proficiency with AWS services (S3, Lambda, SageMaker, ECS/EKS).
• Excellent problem‑solving skills and a passion for cutting‑edge AI research.
• Effective communication and teamwork in a fast‑paced environment.