Senior Backend Engineer – GenAI Group

🕒 August 21

🇮🇱 Israel – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 39%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Earnix

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🛡️ Insurance

🏦 Banking

Fintech • Insurance • Banking

Earnix is a global provider of Intelligent Insurance and Banking Operations, focusing on agile, composable, and real-time solutions. The company specializes in predictive analytics, pricing, risk analysis and modeling, customer lifetime value, financial service product design, banking and insurance analytics, personalization, and digital transformation.

📋 Description

• Design, build, and own backend services and infrastructure for GenAI applications on AWS • Build APIs, data pipelines, and backend integrations for knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks • Lead architecture discussions, design reviews, and technical decisions • Collaborate with product, data science, and engineering teams to translate business needs into backend solutions • Conduct code reviews, mentor less experienced engineers, and champion quality, observability, and operational excellence • Own production health through monitoring, alerting, troubleshooting, and continuous reliability improvements

🎯 Requirements

• 5+ years of backend engineering experience building and operating production systems at scale • Deep expertise in microservices architecture, API design, and distributed systems • Cloud-native design experience on AWS (or GCP/Azure) using Kubernetes and Helm • Proficiency in Python for scalable backend services • Hands-on experience integrating Generative AI into backend systems, including LLMs, knowledge bases, and agent frameworks • Familiarity with AWS Bedrock, LangChain/LangGraph, and vector databases • Experience with SQL/NoSQL databases, caching layers, and message brokers such as PostgreSQL, Redis, Kafka, RabbitMQ, and Elasticsearch • Experience with observability tools such as Prometheus, Grafana, or Splunk for monitoring, distributed tracing, and alerting • Fluency in agile development and delivery tooling such as Jira • Track record of consistently shipping high-quality software in fast-moving environments

🏖️ Benefits

• No benefits, perks, or compensation extras are specified in the posting

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