[Hiring] AI/ML Engineer @CONFISA INTERNATIONAL GROUP

Role Description

Our client is seeking a talented AI/ML Engineer to design, develop, and enhance a next-generation AI recruiting agent. This position offers the opportunity to work with cutting-edge large language models, AI agent frameworks, and modern backend technologies to build intelligent, scalable, production-ready systems. The ideal candidate combines strong Python engineering expertise with hands-on experience developing LLM-powered applications and a passion for experimentation, innovation, and continuous improvement.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Work Arrangement: Remote
• Employment Type: Full-time
• Compensation: To be confirmed based on the applicable engagement structure.