AI Engineer

Architect autonomous decision-making loops and multi-agent workflows using modern agentic AI frameworks.

Develop backend machine learning services, predictive data pipelines, and core system utilities utilizing python.

Connect intelligent AI endpoints with dynamic web user interfaces built with reactjs tools.

Build cross-platform client viewports and mobile application interfaces utilizing the Flutter toolkit.

Support enterprise Java/Spring backend ecosystem integrations (Javaspring board) to handle high-concurrency requests.

Execute end-to-end AI and ML deployment workflows from data preprocessing to real-time inference monitoring.

Participate actively in team design reviews, system debugging sessions, and technical collaboration loops.

Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related quantitative technical stream.

0–1 Yrs of experience, perfectly matching motivated freshers and junior AI/ML developers.

Practical hands-on exposure scripting in Python, building React/Flutter interfaces, and configuring modern AI workflows.

Strong baseline understanding of full-stack integration rules, agentic system designs, and web application pipelines.

Excellent Communication and Collaboration skills to work effectively across cross-functional engineering teams.