Distributed Cloud | Genai Engineer

Job Description

The role involves designing and building enterprise‑grade Generative AI solutions that run in production. Leaders will own technical design, implementation, ensuring strong software engineering practices and reliable integration of LLM‑based components into real‑world systems.

Key Responsibilities

• Design and build scalable backend systems in Python (APIs, services, pipelines).
• Integrate LLMs into production systems (RAG, workflows, agents when justified).
• Define cloud‑native, cloud‑agnostic architectures.
• Ensure quality, testability, observability, and control of cost and latency.
• Lead technical decisions, code reviews, and mentor engineers.
• Build scalable MLOps pipelines for deployment, monitoring, and continuous improvement of GenAI models.
• Ensure ethical, secure, and responsible deployment of generative models, managing risks related to bias and data privacy.