Artificial Intelligence Engineer

Interview Mode: Hackathon Based Selection

Job Summary

We are looking for high-energy AI Engineers who can design, build, and scale AI-native systems from idea to enterprise-grade deployment—while working closely with clients to solve real business problems.

Key Responsibilities

• Design and build AI-native systems using LLMs, agents, and modern AI architecture.
• Take solutions from prototype → production → scale
• Translate client problems into deployable, enterprise-grade solutions
• Build end-to-end systems
• Work directly with clients to refine requirements and solution design
• Contribute to reusable platforms, accelerators, and internal frameworks

Demonstrated ability in AI/ML, solution engineering, or building production systems with client exposure, data handling & building data pipelines with good knowledge of DevSecOps/MLOps. Building and deploying containerized AI models using Docker and Kubernetes with hands-on experience in major cloud platforms

Has built at least one AI solution beyond a demo (or shows clear ability to productionize)