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Beacon AI is building an AI platform to make flying safer, more efficient, and more capable, backed by top investors with a dozen Department of Defense contracts and partnerships with major airlines. The company operates with small, focused teams that own what they build and ship quickly.
You will design, implement, and operate cloud infrastructure and LLM platform services on AWS that are scalable, reliable, and secure. Key responsibilities include:
**Cloud Infrastructure & DevOps**: Design and provision AWS infrastructure using Infrastructure as Code (CDK or Terraform). Build CI/CD pipelines using GitHub Actions, CodeBuild, and CodePipeline. Operate secure networking with VPCs, PrivateLink, VPC endpoints, IAM, KMS, Secrets Manager, and audit logging.
**LLM Platform & Runtime**: Stand up and operate model endpoints using AWS Bedrock and/or SageMaker. Evaluate deployment options (ECS/EKS, Lambda, Batch) for inference jobs. Build application services that call LLMs through clean APIs with streaming, batching, and backoff strategies. Implement prompt and tool execution flows using LangChain or similar frameworks.
**RAG & Vector Search**: Design chunking and embedding pipelines for documents, time series, and multimedia. Orchestrate with Step Functions or Airflow. Operate vector search using OpenSearch Serverless, Aurora PostgreSQL with pgvector, or Pinecone. Build and maintain knowledge bases with data syncs from S3, Aurora, DynamoDB, and external sources.
**Observability & Cost Governance**: Create evaluation harnesses for prompts, retrievers, and chains. Instrument telemetry with CloudWatch and OpenTelemetry. Build token usage and cost dashboards with budgets and alerts. Implement guardrails, rate limits, fallbacks, and provider routing.
**Safety & Compliance**: Implement PII detection and redaction, access controls, content filters, and human-in-the-loop review. Use Bedrock Guardrails to enforce safety standards and maintain audit trails.
**Data Pipelines**: Build ingestion and processing pipelines for structured, unstructured, and multimedia data. Optimize bulk data movement and storage in S3 and tiered storage. Use Athena for analysis.
**IoT & Edge**: Manage infrastructure for edge device deployment, secure messaging, identity, and over-the-air updates.
**Performance Optimization**: Tune retrieval quality, context window use, and caching. Optimize inference with model selection, quantization, instance choices, and autoscaling.
You will work closely with other engineers and product management. The ideal candidate is hands-on, comfortable with ambiguity, and excited to build from first principles. Success requires end-to-end ownership from design through production, including on-call responsibilities.
