Cloud and ML Infrastructure Engineer (AI)

Location: Hybrid in San Carlos, California, with 3+ days per week onsite and remote work on the remaining days. All work must be performed in the United States.

Salary: $135,000–$260,000 annual base salary, plus equity.

Company

hirify.global builds AI-powered aviation systems that make flying safer, more efficient, and more capable, serving airlines and Department of Defense programs.

What you will do

• Design, provision, and operate scalable AWS infrastructure using AWS CDK or Terraform.
• Build CI/CD, testing, data ingestion, and ML pipeline automation with GitHub Actions, CodeBuild, CodePipeline, Glue, and related AWS services.
• Operate LLM endpoints and runtime services with Bedrock, SageMaker, ECS/EKS, Lambda, or Batch.
• Build RAG systems, embedding and chunking pipelines, knowledge bases, and vector search using OpenSearch, pgvector, Pinecone, or Bedrock Knowledge Bases.
• Implement observability, evaluation harnesses, cost dashboards, guardrails, rate limits, fallbacks, and provider routing.
• Manage secure IoT edge deployments and partner with product and application teams to integrate LLM and retrieval capabilities into user-facing aviation features.

Requirements

• 4+ years working with serverless or container platforms on AWS.
• Production experience shipping or operating LLM-powered applications, including RAG design, prompt versioning, and LangChain or similar orchestration.
• Strong knowledge of AWS services including VPC, IAM, KMS, CloudWatch, S3, ECS/EKS, Lambda, Step Functions, Bedrock, and SageMaker.
• Experience building Python ingestion and transformation pipelines, vector databases or OpenSearch/pgvector at scale, and event-driven systems with EventBridge and SQS.
• Strong security practices covering least privilege, secrets management, network isolation, PII protection, audit trails, and compliance for sensitive data.
• Must be a U.S. Person and already authorized to work in the United States; visa sponsorship and visa transfers are not available.

Nice to have

• Experience with Bedrock Guardrails, Knowledge Bases, GPU workloads, Triton Inference Server, or TensorRT-LLM.
• Experience with large-scale data processing and search, IoT AWS services, or DevSecOps automation.
• Background in aviation data or other safety-critical domains.

Culture & Benefits

• Small, focused teams own their systems, ship quickly, and work with limited process overhead.
• Work closely with engineering, product management, security, and application teams.
• Medical premiums are fully covered for employees and 25% covered for dependents.
• Three weeks of paid time off and 13+ paid company holidays.
• 401(k) plan offered without a current employer match.