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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 as small, focused teams that own what they build, ship quickly, and learn fast.
You will design, implement, and operate cloud infrastructure and LLM platform services that are scalable, reliable, and secure. Key responsibilities include:
**Cloud Infrastructure**: Design and provision AWS infrastructure using IaC tools (AWS CDK, Terraform). Build CI/CD pipelines with 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 when to use ECS/EKS, Lambda, or 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 with LangChain or similar.
**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**: Create offline and online eval harnesses for prompts, retrievers, and chains. Instrument telemetry with CloudWatch and OpenTelemetry. Build token usage and cost dashboards with budgets and alerts. Add guardrails, rate limits, fallbacks, and provider routing for resilience.
**Safety & Compliance**: Implement PII detection and redaction, access controls, content filters, and human-in-the-loop review. Use Bedrock Guardrails or policy services. Maintain audit trails for regulated environments.
**Data Pipelines**: Build ingestion and processing pipelines for structured, unstructured, and multimedia data. Optimize bulk data movement and storage in S3, Glacier, and tiered storage.
**IoT & Edge**: Manage infrastructure that deploys to and communicates with edge devices. Support secure messaging, identity, and over-the-air updates.
**Performance**: Tune retrieval quality, context window use, and caching. Optimize inference with model selection, quantization, GPU/CPU 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.
