דרושים » תוכנה » AI Junior Engineer /Junior FS Engineer

We are looking for a Backend Prompt Engineer with 4+ years of backend experience and proven hands on delivery of GenAI powered features in production environments.

This is not a research or experimentation role. Prompt engineering in our company is system design. You will design reliable, scalable, production ready LLM workflows that power real customer facing capabilities inside a complex distributed platform.

You will work closely with backend engineers, product managers, and architects to integrate LLM based intelligence into core business flows.

Location: Kfar Saba, Israel.

Reporting to: AI Team Lead.

Roles and Responsibilities
Design, implement, and continuously improve prompts for LLM driven product features.
Architect and develop backend services in Python.
Integrate LLM APIs such as OpenAI, Anthropic, and AWS Bedrock into production systems.
Implement structured output enforcement, schema validation, and response normalization.
Design robust error handling, fallback strategies, retries, and resiliency mechanisms.
Optimize latency, token usage, throughput, and API cost efficiency.
Build evaluation frameworks and quality control pipelines for AI outputs.
Collaborate with Product and Engineering teams to deliver AI features end to end within us.

We are seeking a highly skilled and self-motivated AI Backend Engineer to join our growing R&D team. In this role, you will play a key part in the design, development, and deployment of our next-generation backend services, AI-driven workflows, and GenAI applications.

We are looking for a seasoned engineer who is passionate about building robust, scalable systems and has a proven track record of integrating cutting-edge LLM technologies into production. You will work closely with architects and product teams to turn complex AI concepts into reliable, high-performance backend solutions.


Key Responsibilities
Feature Development: Design and build high-performance, resilient, and scalable backend services using Python.
AI Implementation: Integrate LLMs using AWS Bedrock and other GenAI frameworks to create innovative, AI-powered solutions.
Workflow Orchestration: Design and implement complex, end-to-end event-driven architectures utilizing AWS Step Functions.
System Architecture: Contribute to the design of distributed systems, ensuring they meet high standards for performance and scalability.
Code Quality: Write clean, maintainable, and well-tested code, participating in code reviews to ensure best practices across the stack.
Collaboration: Partner with Product, Data Science, and DevOps teams to translate business requirements into technical implementations.
Problem Solving: Maintain a hands-on approach to troubleshooting, optimizing, and technical problem-solving within the GenAI ecosystem.

We are looking for a Junior Fullstack Engineer who is excited about building real product features end-to-end and eager to grow in modern web development within our flagship platform.

This is not an internship, were looking for someone with solid foundations in TypeScript, Node.js, and ReactJS, who is motivated to deepen their skills in production-grade systems.

Youll work alongside experienced engineers to design and build features across the stack, from UI and API design, through data modeling, to performance and reliability improvements.

Location: Kfar Saba, Israel.

Reporting to: Full Stack Squad Lead.

Employment Type: Full-time Position.

Roles and Responsibilities
Develop and maintain frontend components using ReactJS.
Build backend services and APIs using Node.js + TypeScript.
Work with MongoDB for data modeling, queries, and performance improvements.
Integrate frontend and backend flows end-to-end (auth, data fetching, state management, etc.).
Implement modules from technical design to delivery including error handling, logging, and monitoring.
Contribute to code quality: clean code, reviews, refactoring, and testing.
Support performance improvements across the UI and API layers.
Collaborate with Product and Engineering teams to deliver user-facing features.