Das ist der Job
Architect Infrastructure: Ensure the backend can handle high-throughput AI workloads smoothly and securely.
Darum lohnt es sich
Collaborate & Innovate: Work closely with product and data science teams to translate ambitious AI concepts into seamless, user-facing SaaS features. Responsibilities Build & Scale: Design and deploy robust, production-grade microservices to power new GenAI and Large Language Model (LLM) features.
Maintain Excellence: Keep the codebase clean, efficient, and well-documented while monitoring and supporting the services you build. Requirements 5+ years of Python experience GenAI & LLM: Hands‑on experience integrating, fine‑tuning, or orchestrating Large Language Models (e.g., OpenAI, Anthropic, LangChain, or open‑source models).
Cloud Native (AWS): Deep familiarity with the AWS ecosystem (EC2, Lambda, ECS, S3, etc.) to deploy and scale applications. Git: Proficiency with Git for version control and collaborative development. #J-18808-Ljbffr
