AI Native Engineer

The "AI-Native" DNA This is not a traditional software engineering role. We believe the future of coding is AI-assisted. You are expected to be an AI-Native Engineer: You don't just write code; you orchestrate it. You leverage tools like GitHub Copilot, Cursor, and LLMs to write code, generate test cases, debug, and perform RCAs at 10x speed. You are Full-Stack + AI. You are comfortable setting up a backend API, building a quick UI, and engineering a complex RAG pipeline in the same sprint.

Responsibilities:

• Architect complex Agentic Systems (multi-agent orchestration, planning, and memory management).
• Drive the Distillation Strategy: Lead efforts to convert massive models into smaller, task-specific models for cost efficiency.
• Define best practices for "AI-Native Development" across the org.
• Act as a technical liaison between Business Leaders and Engineering.
• Design end-to-end architecture for mid-sized AI applications.
• Mentor Grade 8/9/10 engineers on AI-native workflows.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
• 8-12 years' exp. Deep expertise in Distributed Systems and NLP.
• Experience deploying LLMs at scale.
• Strong communication and analytical skills.

Skills

LLM, LLMs, NLP, distributed systems, large language model, large language models, natural language processing