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)