דרושים»AI» Generative AI Engineer

לפני 14 שעות חברה חסויה Location: Job Type: We are seeking an experienced Generative AI Engineer to join our AI squad. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field. Key Responsibilities: GenAI Development & Implementation End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliabilityRequirements: Programming: Advanced proficiency in Python for backend development and AI applications GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.) Multi-Agent Systems: Expertise in deg and implementing GenAI multi-agent architectures Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques Cloud Platforms: Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS) Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.) Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services Software Engineering: Strong background in microservices architecture, API development, and production system design AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing Data Pipelines (Advantage): Experience building and maintaining data processing pipelines Professional Experience: Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience Production Systems: Proven track record of deploying and maintaining AI solutions in production environments Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions Education & Background: Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio) Soft Skills: Problem-Solving: Excellent analytical and creative problem-solving abilities Communication: Strong technical communication skills for both technical and non-technical audiences Collaboration: Proven ability to work effectively in cross-functional teams Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies Consulting Mindset: Ability to understand client needs and provide strategic technical guidanceThis position is open to all candidates. Hide