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Backend AI Engineer at Navan Labs UK Limited

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

11 Jul, 26

Salary

0.0

Posted On

12 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, Java, API Development, Microservices, Distributed Systems, SQL, NoSQL, AI Platforms, LLMs, RAG, Conversational AI, Vector Databases, Embedding Technologies, Cloud Platforms, AWS, GCP

Industry

Software Development

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.

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Responsibilities

Design and develop scalable, high-performance backend services and APIs that integrate advanced AI capabilities. Collaborate with AI specialists to translate complex AI models into production-ready features for consumer-facing products.