Senior Software Engineer

Navan
Tel-Aviv, IL
On-site

Who this role is best for

Aimed at senior backend engineers with AI enthusiasm who can integrate advanced AI technologies into consumer products at scale.

Best fit for

  • Backend engineers transitioning into AI roles without requiring deep ML expertise.
    — “expand your expertise into AI while leveraging your strong engineering foundation
  • Developers with production API experience seeking AI implementation challenges.
    — “Experience building and maintaining production-grade APIs and microservices
  • Systems engineers comfortable translating AI research into reliable services.
    — “Work with AI specialists to translate AI capabilities into production-ready features

Things to consider

  • Expect to maintain AI systems with strict reliability requirements.
    — “Ensure high reliability, performance, and security of AI-powered systems
  • Must collaborate across AI specialists and product teams.
    — “Collaborate with product and engineering teams to gather requirements

How to stand out

  • Showcase API designs that improved reliability metrics.
    — “Ensure high reliability, performance, and security
  • Detail experience with vector databases beyond basic usage.
    — “Knowledge of vector databases and embedding technologies
  • Demonstrate scaling challenges solved in consumer products.
    — “Track record of delivering consumer-facing products at scale
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • scalable backend services
  • AI integration
  • high reliability and performance
Typical background
5+ years of professional backend engineering experience

Skills & requirements

Required

Backend ProgrammingAi/ml PlatformsCloud PlatformsDistributed SystemsSQL And Nosql Databases

Preferred

LlmsRAGConversational AIVector Databases

Stack & domain

Backend EngineeringAi TechnologiesLarge Language Models (llms)Retrieval-augmented Generation (rag)Conversational InterfacesBackend Programming LanguagesProduction-grade Apis And MicroservicesDistributed SystemsData StructuresAlgorithmsSql And Nosql DatabasesAi/ml Platforms And ServicesVector DatabasesEmbedding TechnologiesCloud PlatformsAITravel And Expense Management

About the role

Original posting from Navan

We are seeking a Senior 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.

Source: Navan careers

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