AI/ML Engineer, Internal Platforms - REMOTE

An unnamed client of Confisa International Group is seeking an AI/ML Engineer to build and enhance an AI recruiting agent. The role focuses on developing LLM-powered features, scalable Python backend services, and production-ready AI systems.

Responsibilities:

• Design, build, and improve AI agent capabilities using modern LLMs
• Develop scalable backend services and RESTful APIs using Python
• Build and optimize prompt workflows, retrieval-augmented generation (RAG), and AI agent orchestration
• Experiment with emerging AI models, frameworks, and technologies
• Evaluate model performance, reliability, and output quality
• Collaborate with engineering and product teams to develop and deploy AI-powered features
• Deploy, monitor, and maintain scalable AI systems in production environments
• Improve the accuracy, efficiency, and reliability of AI applications
• Stay current with advancements in generative AI, machine learning, and agent-based architectures

Requirements:

• Strong software engineering experience with Python
• Hands-on experience developing applications powered by large language models (LLMs)
• Experience integrating AI APIs and building intelligent applications
• Familiarity with LangChain, LangGraph, LlamaIndex, or similar AI agent frameworks
• Experience developing backend APIs using FastAPI or comparable technologies
• Experience with cloud infrastructure, preferably AWS, GCP, or Azure
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication and cross-functional collaboration skills
• Ability to work independently in a fast-paced, remote engineering environment
• Experience deploying production-ready AI agents or generative AI products
• Knowledge of retrieval-augmented generation (RAG), tool calling, prompt engineering, and model evaluation
• Experience designing multi-step AI workflows and agent orchestration systems
• Contributions to open-source AI projects or development of independent AI applications
• Familiarity with monitoring, evaluating, and optimizing production AI systems
• Experience working in AI-first technology organizations