Experienced C++ Software Developer
Mobileye
LinuxPython
Senior Back-End Engineer, Node.js
Cross River
full-time
Posted on:
Location: 🇮🇱 Israel
Visit company websiteJob Level
Senior
Tech Stack
ApolloAWSCloudDockerDynamoDBGraphQLJavaScriptMicroservicesNode.jsPostgresRayRedisSQLTerraformTypeScript
About the role
- 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 (Aurora pgvector, Pinecone, Chroma) to power RAG pipelines
- Create secure, observable, and cost‑efficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline
- Implement monitoring, tracing, and logging (CloudWatch, X‑Ray, OpenTelemetry) to track latency, cost, and output quality of AI endpoints
- Collaborate with ML engineers, product managers, and front‑end teams in agile sprints; participate in design reviews and knowledge‑sharing sessions
- Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage
- Operate highly reliable Node.js services on AWS that enable generative‑AI capabilities across products and internal workflows
- Create scalable APIs, data pipelines, and serverless architectures integrating large‑language‑model services
Requirements
- 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
- Experience building Retrieval‑Augmented Generation (RAG) systems or knowledge‑base chatbots
- Hands‑on with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora
- AWS certification (Developer, Solutions Architect, or Machine Learning Specialty)
- Experience with observability tooling (Datadog, New Relic) and cost‑optimization strategies for AI workloads
- Background in microservices, domain‑driven design, or event‑sourcing patterns
- Strong understanding of RESTful design, GraphQL fundamentals, and event‑driven architectures (SNS/SQS, EventBridge)
- Proficiency with infrastructure‑as‑code (AWS CDK, Terraform, or CloudFormation) and CI/CD pipelines (GitHub Actions, AWS CodePipeline)
- Familiarity with secure coding, authentication/authorization patterns (Cognito, OAuth), and data privacy best practices for AI workloads
- Familiarity with technical environment: TypeScript, JavaScript, SQL, Express.js, Fastify, Apollo Server, LangChain‑JS, AWS SDK v3, DynamoDB, Aurora (Postgres + pgvector), Redis, S3, AWS Lambda, API Gateway, ECS/Fargate, Step Functions, CDK, Terraform, Docker, GitHub Actions, Amazon Bedrock, OpenAI API, HuggingFace Inference Endpoints, Pinecone, Chroma
Similar jobs on JobTailor
Senior Software Engineer – Kubernetes
NVIDIA
GoKubernetesOpen SourceOpenStack
Software Engineer, Backend
Semperis
AWSAzureCloudElasticSearchGoogle Cloud PlatformKafkaKubernetes
Senior Backend Engineer, LLM Team
Blink Ops
CloudDistributed SystemsDockerGoKubernetesMicroservicesPython
Senior Back-End Engineer
Cross River
CloudDistributed SystemsDockerKubernetesPython