Junior Agentic AI Software Engineer

Role overview

Responsibilities

• check_circle Design, develop, and maintain agentic AI software components under guidance from senior engineers
• check_circle Investigate and prototype novel approaches for AI agent reasoning, planning, tool usage, memory, and self‑improvement
• check_circle Apply emerging agentic AI techniques to improve robustness, performance, and scalability of software solutions
• check_circle Participate in system design discussions, code reviews, and technical reviews
• check_circle Execute experiments to evaluate AI agent behavior, performance, and reliability
• check_circle Collaborate across software, research, and product teams to deliver high‑quality solutions

Basic qualifications

• Master’s degree in Artificial Intelligence / Machine learning
• Fundamental understanding of Machine learning, deep learning, Large language models (LLM) and modern AI architectures
• Basic understanding of Agentic concepts and autonomous systems
• Familiarity with Prompt engineering, Fine‑tuning vs inference‑time control, Retrieval‑Augmented Generation (RAG)
• Strong foundation in software engineering principles
• Proficiency in Python programming
• Familiarity with Linux development environments and version control (Git)
• Strong analytical and problem‑solving skills
• Good communication skills and ability to work effectively in a team environment

Preferred qualifications

• Academic or project experience with:
• AI agent frameworks or autonomous systems
• Prompt engineering, tool calling, or workflow orchestration
• Retrieval‑augmented or knowledge‑based AI systems
• Exposure to:
• embedded development environments
• Testing or evaluation of AI models and systems
• Internship, thesis, or research experience in edge AI, agentic AI

About the company