AI Engineer

Role Summary

Independently build backend services, own features, production RAG, agentic workflows, deploy models, optimize performance.

Responsibilities

Ownership and complexity increase with experience while retaining focus on building production-grade AI systems, scalable APIs, LLM integrations, RAG pipelines, agentic workflows, testing, documentation, deployment, optimization, collaboration, and continuous learning.

Qualifications

Strong Python skills appropriate to experience level, backend/API development, AI/LLM exposure, cloud-native development, and software engineering best practices. What We Value Ownership, code quality, curiosity, speed with quality, collaboration, and production mindset.