Senior AI Engineer

travelbooster · telaviv

Description We’ve come a long way since we first opened our doors, but our mission has always stayed the same: to provide world class solutions for the travel industry. Travel Booster is a constantly improving ERP solution that frees users from the complexities of creation so they can do more, faster. We are looking for a hands‑on engineer to own our cloud infrastructure and CI/CD pipelines on AWS with Azure DevOps (Pipelines & Releases) . You will take over existing infrastructure and pipelines written in PowerShell and Python , stabilize & improve them, and lead AI/LLM enablement across Dev, QA, and Support—including building internal agents , integrating with LLMs (via MCP and other frameworks), and driving AI adoption in day‑to‑day workflows. You’ll partner closely with R&D to streamline builds, deployments, environment management, and observability , while also pushing upgrades and optimizations in AWS services. What will your job look like? Key Responsibilities CI/CD & Cloud Infrastructure Own, maintain, and enhance Azure DevOps Pipelines & Releases (multi‑stage YAML/classic) for builds, deployments, and scheduled tasks . Refactor existing PowerShell, javascript and Python pipeline scripts for reliability, security, and performance. Implement pipeline templates , gates , approvals , artifact versioning , and automated rollbacks . Introduce pipeline observability (dashboards, alerts, metrics) and enforce branching , tagging , and release standards. Operate and improve AWS environments (Prod/Stage/Dev/QA), including networking , compute , storage , databases , security , and cost management . Implement Infrastructure as Code (IaC) (Terraform or AWS CloudFormation); manage parameter stores/secrets . Automate environment lifecycle: provisioning, configuration, blue/green & canary releases , and disaster recovery . Drive updates and improvements across services (e.g., EKS/EC2/Lambda , RDS/DynamoDB , ElastiCache , S3 , CloudFront/ALB/ELB , Route 53 , CloudWatch , Systems Manager , IAM , KMS ). Standardize and automate Dev/QA/SIT/UAT environments; ensure parity with Production where relevant. Build ephemeral preview environments per PR; manage test data seeding/anonymization. Collaborate with QA to integrate test orchestration (smoke/regression) into pipelines with gates and quality metrics . Implement monitoring/alerting (CloudWatch, Prometheus/Grafana), logging (CloudWatch Logs/OpenSearch), and distributed tracing (X-Ray/OpenTelemetry). Harden IAM (least privilege, scoped roles), secrets management, key rotation, and compliance checks. Track and optimize AWS spend (rightsizing, autoscaling, lifecycle policies). AI/LLM Enablement Build and deploy AI-powered features using LLMs (OpenAI, Azure OpenAI, Hugging Face). Implement MCP-based integrations for context-aware workflows. Design and build internal AI agents (for Dev/QA/Support) to assist with triage, runbooks, test data generation, log analysis, and developer productivity. Integrate LLMs via secure patterns (e.g., Model Context Protocol (MCP) , retrieval‑augmented generation, prompt engineering, guardrails, and observability). Create tooling that plugs AI into pipelines/workflows (PR summaries, release notes, changelog generation, incident post‑mortems). Establish data governance for AI: access control, PII handling, prompt/data sanitization, and auditability. Write production-grade code for AI workflows, including prompt engineering , function calling , and agent orchestration . Integrate AI services into ERP, web apps, and backend systems. Requirements All you need is... Required Skills & Qualifications 5+ years working with AWS in production (multi‑account, multi‑env). 3+ years with Azure DevOps (Pipelines/Releases), including YAML pipelines. Strong javascript, PowerShell and Python for automation and pipeline tasks. Hands‑on experience with IaC (Terraform or CloudFormation). Solid understanding of networking , security (IAM/KMS), containers (Docker; EKS preferred) or serverless (Lambda). Experience integrating LLMs/AI into engineering workflows (agents, prompt engineering, RAG, MCP or similar). Proven track record of CI/CD best practices , release orchestration, artifact/version management, and rollback strategies. Experience with OpenAI/Azure OpenAI , Anthropic , or other LLM providers; familiarity with MCP . Knowledge of Node.js build/deploy pipelines (to align with parts of our stack). Exposure to C++ build systems (beneficial for our business logic components). Observability stack: OpenTelemetry , Grafana , Loki/ELK/OpenSearch . Security/compliance tooling (e.g., CIS benchmarks, AWS Config, Inspector). Experience with fine-tuning and deploying models in production. Excellent interpersonal skills, Proactive, Fast learner and team player Knowledge in Agile and Scrum - Advantage Excellent English writing and verbal skills – Mandatory Travel Booster is an equal opportunity employer. We welcome applicants from all backgroun

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