Posted 1w ago

Senior Fullstack Engineer - AVA

@ Navan
Tel Aviv, /, Israel
OnsiteFull Time
Responsibilities:design backends, build APIs, integrate AI
Requirements Summary:5+ years engineering; 2+ years frontend with Angular, TypeScript, React; strong backend in Java; distributed systems knowledge; AI/ML platform experience.
Technical Tools Mentioned:Angular, TypeScript, React, Java, AWS, GCP, Azure, OpenAI, Hugging Face, Vector Databases, Embedding Technologies, LLMs, RAG, AI Platforms, Cloud Platforms
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Job Description

We are seeking a skilled Fullstack Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies. You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.

What You’ll Do:
• Design and develop scalable, high-performance backend services and APIs.
• Implement integrations with AI platforms and services.
• Work with AI specialists to translate AI capabilities into production-ready features.
• Ensure high reliability, performance, and security of AI-powered systems.
• Collaborate with product and engineering teams to gather requirements and deliver solutions.

What We’re Looking for:

• 5+ years of professional engineering experience.
• At least 2 years of experience in FE development using Angular, typescript, and React.
• Strong proficiency in at least one backend programming language (Java etc).
• Strong sense of ownership demonstrated through shipping production-quality code equipped with testing, monitoring and documentation.
• Solid understanding of distributed systems, data structures, and algorithms.
• Ability to thrive in a fast-paced environment.
• Track record of delivering consumer-facing products at scale.

• Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
• Familiarity with LLMs, RAG, or conversational AI.
• Knowledge of vector databases and embedding technologies.
• Experience with cloud platforms (AWS, GCP, Azure).
• Understanding of AI/ML concepts and implementation patterns.