דרושים»תוכנה» Associate Generative AI Engineer

לפני 13 שעות חברה חסויה Location: Job Type: We are seeking an Associate Generative AI Engineer to join our AI squad. This role blends hands-on engineering with exposure to system design and client-facing delivery, making it an excellent opportunity for engineers early in their career to work on real, production-grade GenAI systems. You will design, build, and operate LLM-based and agentic systems as part of cross-functional teams, contributing to both greenfield initiatives and the evolution of existing GenAI platforms. You will develop strong foundations in system architecture, backend engineering, and cloud-based GenAI delivery while working closely with more experienced engineers. Key Responsibilities: GenAI Development & Implementation: Develop end-to-end GenAI solutions from POC through production deployment Implement backend microservices and GenAI components using Python Contribute to the development of multi-agent systems, orchestration layers, and autonomous workflows Integrate and optimize LLMs and GenAI APIs within larger system Participate in evaluating and improving system performance, scalability, reliability, and cost efficiency Client Engagement & Collaboration: Participate in technical discussions with clients and contribute to solution design discussions Support presentations, demos, and technical explanations for client stakeholders Collaborate closely with project managers, full-stack developers, and automation teams to deliver end-to-end solutions Cloud & Platform Work: Deploy and operate GenAI systems on GCP, Azure, and/or AWS Work with cloud-native AI services and managed platform Contribute to monitoring, reliability, and operational stability of production environmentsRequirements: Strong proficiency in Python for backend development and AI-related systems Solid understanding of large language models and generative AI techniques Experience contributing to agent-based workflows or orchestration logic Practical experience with prompt design and prompt optimization techniques Understanding of microservices architecture and API-based system design Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS) Professional Experience: Up to 2 years of experience in software engineering, AI, or ML-related roles Experience contributing to production or production-adjacent systems Exposure to client-facing or consulting-style project delivery is an advantage Education & Background: Bachelors degree in Computer Science, AI, Machine Learning, or related technical field (or equivalent practical experience and portfolio) Soft Skills: Strong analytical and problem-solving abilities Clear technical communication skills Ability to collaborate effectively across teams Adaptability and eagerness to learn in fast-paced environments Consulting mindset and client-oriented approachThis position is open to all candidates. Hide