AI Engineer

WaveBL · telaviv

We are looking for a Senior AI Software Engineer to join our R&D group and help design and implement our next-generation AI-driven data and intelligence platform. This role is ideal for a senior engineer who thrives at the intersection of software engineering, data pipelines, and applied AI — someone who can bridge solid backend foundations with practical experience in modern AI systems. You’ll lead efforts to integrate and operationalize existing open-source and commercial AI models, evaluate their performance, and optimize their cost and accuracy in production environments. Who we are: We’re a fast-paced startup committed to delivering high-quality releases and an outstanding user experience. We thrive on innovation, collaboration, and a commitment to excellence. If you’re someone who enjoys diving deep into both manual and automated testing, and you’re eager to make an impact in a dynamic environment, we’d love to hear from you. What You’ll Do Design and build scalable data pipelines to gather, prepare, and serve data for AI workflows — including evaluation, fine-tuning, and retrieval pipelines. Integrate and operationalize LLMs and multimodal models , focusing on applying and adapting existing open-source or commercial models rather than building from scratch. Conduct error analysis, model evaluation, and cost/performance optimization to ensure production readiness and efficiency. Develop and maintain backend services (primarily in Java and Python ) that power AI-driven features and automate data processing. Implement retrieval-augmented generation (RAG) and information retrieval pipelines to enhance system intelligence. Apply prompt engineering , validation, and A/B testing to improve system output quality. Collaborate with product and engineering teams to turn AI capabilities into end-user features with measurable impact. Stay current with emerging AI trends and tools , driving innovation and adoption across the company. What We’re Looking For 7+ years of hands-on software engineering experience , including system design and production-grade development. B.Sc. in Computer Science or Software Engineering (M.Sc. a plus). Strong proficiency in Java and Python . Experience in cloud environments (AWS, GCP, or Azure). Hands-on experience with Kafka , SQL , and NoSQL databases. Familiarity with machine learning fundamentals, NLP, information retrieval , and RAG architectures . Experience building data pipelines for training, evaluation, or experimentation. Proven ability to conduct prompt optimization, model evaluation, and cost-aware experimentation . Self-driven mindset and curiosity to explore new tools, frameworks, and approaches in applied AI. Nice to Have Fluency with AI-assisted development (GitHub Copilot, Cursor, JetBrains AI) and experience defining org-wide usage guidelines. Experience with multi-model routing, tool-use/agents, and safety classifiers/guardrails. Knowledge of model optimization techniques (quantization, distillation) and GPU/accelerator stacks.

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