תיאור תפקיד:
We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generative AI capabilities across our products and internal workflows.
You will create scalable APIs, data pipelines, and serverless architectures that integrate large language model (LLM) services such as Amazon Bedrock, OpenAI, and open source models, enabling teams to safely and efficiently leverage generative AI.
What You’ll Be Doing Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative AI features such as chat, summarization, and content generation.
Build and maintain AWS native architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, self hosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power Retrieval Augmented Generation (RAG) pipelines. Collaborate with ML engineers, product managers, and front end teams in agile sprints; participate in design reviews and knowledge sharing sessions.
דרישות:
Available working some US hours
Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
4+ years professional experience building production services with Node.js/TypeScript.
3+ years hands on with AWS, including Lambda, API Gateway, DynamoDB, and at least one container service (ECS, EKS, or Fargate).
Experience integrating third party or cloud native LLM services (e.g., Amazon Bedrock, OpenAI API) into production systems.
Languages: TypeScript, JavaScript, SQL
AI Stack: Amazon Bedrock, OpenAI API, HuggingFace Inference Endpoints, Pinecone, Chroma
היקף משרה:
משרה מלאה
קוד משרה:
614559
אזור:
ירושלים - ירושלים, יהודה ושומרון, בית שמש
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