Posted 3w ago

Backend AI Engineer

@ Navan
Tel Aviv, Tel Aviv, Israel
HybridFull Time
Responsibilities:designing APIs, building microservices, integrating AI
Requirements Summary:5+ years backend engineering experience; proficient in at least one backend language; API and microservice knowledge; SQL/NoSQL; cloud platforms; AI/ML platforms; familiarity with LLMs, RAG, and vector databases.
Technical Tools Mentioned:Java, SQL, NoSQL, AWS, GCP, Azure, OpenAI, Hugging Face, LLMs, RAG, Vector databases, Microservices, APIs
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Job Description

We are seeking a skilled Backend 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 backend engineering experience.
• Strong proficiency in at least one backend programming language (Java etc).
• Experience building and maintaining production-grade APIs and microservices.
• Solid understanding of distributed systems, data structures, and algorithms.
• Experience with SQL and NoSQL databases.
• 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.