AI Native Software Engineer

AI Native Software Engineer focuses on maintain ai agent workflows, including retrieval‑augmented generation (rag), orchestration, tool/function invocation, and policy‑based routing.

What the role involves

• Maintain AI agent workflows, including retrieval‑augmented generation (RAG), orchestration, tool/function invocation, and policy‑based routing.
• Build cloud‑native backend services and APIs to support AI‑driven applications and enterprise integrations.
• Implement evaluation, monitoring, and observability frameworks to ensure accuracy, latency, reliability, and system health across AI agent lifecycles.
• Optimize AI and system performance across cost, scalability, and latency dimensions in production environments.
• Microsoft Office (Excel, Word, Outlook, Teams).
• Build real, enterprise‑grade AI systems that move beyond experimentation into production.

Skills and requirements

• Combining unmatched experience and specialized skills across more than 40 industries.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent practical experience.
• 8–10+ years of professional software engineering experience with ownership of production systems.
• 3+ years of hands‑on experience building and deploying AI/LLM‑based systems in production (agents, RAG pipelines, orchestration).

Confirmed role details

• Work type: Hybrid.
• We are seeking a hands‑on AI Native Software Engineer to design.
• Build, and deploy production‑grade AI‑driven systems within complex enterprise environments.
• This is a 100% hands‑on engineering role, ideal for a senior technologist who thrives at the intersection of AI systems, software engineering, and cloud infrastructure.

Candidate fit

• technical problem-solving, code quality, testing discipline, and clear collaboration