We are looking for a highly motivated AI Full stack Engineer with GenAI background in production to join our team and help us shape the future of the Agentic engineering platform (AEP).
What youll do:
At our company, were a platform by developers, for developers. Your role will encompass end-to-end design, implementation, and daily feature delivery across both backend and frontend systems.
You will:
Implement high scale AI-powered features deeply integrated into our platform
Design and build production-grade backend systems serving a wide and growing user base
Build agent-based workflows using frameworks such as AI SDK
Integrate LLMs into real production systems with attention to reliability, latency, observability, and cost
Work across frontend (React + TypeScript) and backend (NodeJS, Python, Go) to deliver complete AI-driven user experiences
Own features end-to-end: design, implementation, testing, deployment, and monitoring
Help define standards and best practices around AI reliability and evaluation
Contribute to technical planning, mentor teammates, and help recruit top talent
Develop retrieval-augmented generation (RAG) pipelines over structured and unstructured data
Our stack includes React + TypeScript on the frontend, and NodeJS + TypeScript, Python, and Golang on the backend, and Vercels AI-SDK + AWS Bedrock + Azure OpenAI for GenAI. We use Kafka + Kafka Connect, Redis, PostgreSQL, MongoDB and other modern infrastructure components.
What youll do:
At our company, were a platform by developers, for developers. Your role will encompass end-to-end design, implementation, and daily feature delivery across both backend and frontend systems.
You will:
Implement high scale AI-powered features deeply integrated into our platform
Design and build production-grade backend systems serving a wide and growing user base
Build agent-based workflows using frameworks such as AI SDK
Integrate LLMs into real production systems with attention to reliability, latency, observability, and cost
Work across frontend (React + TypeScript) and backend (NodeJS, Python, Go) to deliver complete AI-driven user experiences
Own features end-to-end: design, implementation, testing, deployment, and monitoring
Help define standards and best practices around AI reliability and evaluation
Contribute to technical planning, mentor teammates, and help recruit top talent
Develop retrieval-augmented generation (RAG) pipelines over structured and unstructured data
Our stack includes React + TypeScript on the frontend, and NodeJS + TypeScript, Python, and Golang on the backend, and Vercels AI-SDK + AWS Bedrock + Azure OpenAI for GenAI. We use Kafka + Kafka Connect, Redis, PostgreSQL, MongoDB and other modern infrastructure components.
Requirements:
5+ years of professional software engineering experience
Experience in NodeJS + TypeScript
Strong experience designing and developing complex systems from design to production
Experience dealing with scale and performance-related challenges
Experience building or integrating AI/LLM-powered applications in production or meaningful production systems
Experience building agent workflows and tool integrations
Ability to think critically about model limitations, hallucinations, latency, and cost tradeoffs
A collaborative team player with a can-do approach
Strong written and verbal communication skills in English and Hebrew
Advantages:
Experience with AWS or other cloud platforms
Experience with vercels AI SDK
Experience with embeddings, vector databases, or semantic search
Expierence with AWS Bedrock / Azure Open-AI
Experience building tool-using agents or workflow engines
Experience with AI evaluation, observability, and monitoring
Experience in DevOps-related tools
Experience with PostgreSQL, Kafka, DocumentDB, OpenSearch, Redis.
5+ years of professional software engineering experience
Experience in NodeJS + TypeScript
Strong experience designing and developing complex systems from design to production
Experience dealing with scale and performance-related challenges
Experience building or integrating AI/LLM-powered applications in production or meaningful production systems
Experience building agent workflows and tool integrations
Ability to think critically about model limitations, hallucinations, latency, and cost tradeoffs
A collaborative team player with a can-do approach
Strong written and verbal communication skills in English and Hebrew
Advantages:
Experience with AWS or other cloud platforms
Experience with vercels AI SDK
Experience with embeddings, vector databases, or semantic search
Expierence with AWS Bedrock / Azure Open-AI
Experience building tool-using agents or workflow engines
Experience with AI evaluation, observability, and monitoring
Experience in DevOps-related tools
Experience with PostgreSQL, Kafka, DocumentDB, OpenSearch, Redis.
This position is open to all candidates.
