Beacon AI is an aviation technology company focused on enhancing flight safety and operational efficiency for commercial and private aircraft operators. The company develops an AI Assistant that works alongside pilots, providing safety net functions like checklists and configuration management, coaching on procedures and efficiency, and superhuman capabilities such as route optimization and performance calculations. Led by a team with deep expertise in aviation and autonomous driving software, Beacon AI targets airlines, government fleets, air charter operators, corporate flight departments, OEMs, and system integrators. Their platform offers pilot assistance, flight debrief and playback, live flight support, fleet monitoring, route optimizations, and third-party integrations, aiming to modernize aircraft operations and improve safety, efficiency, and cost savings. Beacon AI has secured significant venture funding, including a $15 million Series A, and collaborates with US military and government entities, positioning itself as a leader in AI-driven aviation safety technology.
AI AssistantAviationFleet MonitoringFlight EfficiencyFlight SafetyOperational EfficiencyPilot AssistanceRoute Optimizationbeaconai.co
Beacon AI
Beacon AI is an aviation technology company focused on enhancing flight safety and operational efficiency for commercial and private aircraft operators. The company develops an AI Assistant that works alongside pilots, providing safety net functions like checklists and configuration management, coaching on procedures and efficiency, and superhuman capabilities such as route optimization and performance calculations. Led by a team with deep expertise in aviation and autonomous driving software, Beacon AI targets airlines, government fleets, air charter operators, corporate flight departments, OEMs, and system integrators. Their platform offers pilot assistance, flight debrief and playback, live flight support, fleet monitoring, route optimizations, and third-party integrations, aiming to modernize aircraft operations and improve safety, efficiency, and cost savings. Beacon AI has secured significant venture funding, including a $15 million Series A, and collaborates with US military and government entities, positioning itself as a leader in AI-driven aviation safety technology.
AI AssistantAviationFleet MonitoringFlight EfficiencyFlight SafetyOperational EfficiencyPilot AssistanceRoute Optimizationbeaconai.co
HQSan Carlos, US
Team Size25
Open Jobs17
Total Funding$20M
Latest Fundraise
2 years ago
TL;DR
Product: AI pilot assistant (safety net, coach, superhuman features) and flight-data/management platform
Customers: Commercial airlines, private/charter operators, government/defense fleets, OEMs, system integrators
Funding: $20M total venture funding; $15M Series A (Oct 2024)
HQ & founding: San Francisco; founded 2021
Company Overview
Problem Domain
Flight safety and operational efficiency for aircraft operators
Founded
2021
Industry
Software Development
Tech Stack
Amazon CloudFront
Amazon Route 53
Amazon S3
CommonCrawl Top 10m
Google Universal Analytics
HSTS
Ruby on Rails Token
UNPKG
reCAPTCHA
reCAPTCHA v2
Funding Track Record
Series A- 2024-10-15
$15,000,000
Series A reported to bring total venture funding to $20M
Investor Signal
“Backed by Costanoa Ventures, Scout Ventures, JetBlue Ventures, Sam Altman and additional investors”
Founders
What we do
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The ideal candidate is hands-on, comfortable with ambiguity, and excited to build from first principles
Experience with IoT AWS services is a plus
End-to-End Ownership: Drives work from design through production, including on-call and continuous improvement
LLM Systems Experience: Shipped or operated LLM-powered applications in production. Familiar with RAG design, prompt versioning, and chain orchestration using LangChain or similar
AWS Depth: Strong with core AWS services such as VPC, IAM, KMS, CloudWatch, S3, ECS/EKS, Lambda, Step Functions, Bedrock, and SageMaker
Data Engineering Skills: Comfortable building ingestion and transformation pipelines in Python. Familiar with Glue, Athena, and event-driven patterns using EventBridge and SQS
Security Mindset: Applies least privilege, secrets management, network isolation, and compliance practices appropriate to sensitive data
Evaluation and Metrics: Uses quantitative evals, A/B testing, and live metrics to guide improvements
Clear Communication: Explains tradeoffs and aligns partners across product, security, and application engineering
4+ years working with serverless or container platforms on AWS
Experience with vector databases, OpenSearch, or pgvector at scale
Hands-on with Bedrock Guardrails, Knowledge Bases, or custom policy engines
Familiarity with GPU workloads, Triton Inference Server, or TensorRT-LLM
Experience with big data tools for large-scale processing and search
Background in aviation data or other safety-critical domains
DevOps or DevSecOps experience automating CI/CD for ML and app services
At this time, due to United States Department of State regulations, we are only able to hire U.S. Persons. A U.S. Person is a lawful permanent resident (U.S. citizen, legal immigrant with a 'Green Card', or a protected individual who has been granted permanent asylum or refugee status.) These aerospace restrictions mean that we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. All work must be performed in the United States
What the job involves
We are seeking skilled Cloud and ML Infrastructure Engineers to lead the buildout of our AWS foundation and our LLM platform
You will design, implement, and operate services that are scalable, reliable, and secure
The broad scope means focus areas in LLM/ML Infra and IoT infra are strong bonus points
For ML Infra, build the stack that powers retrieval-augmented generation and application workflows built with frameworks like LangChain
You will work closely with other engineers and product management
Cloud Infrastructure Setup and Maintenance
Design, provision, and maintain AWS infrastructure using IaC tools such as AWS CDK or Terraform
Build CI/CD and testing for apps, infra, and ML pipelines using GitHub Actions, CodeBuild, and CodePipeline
Operate secure networking with VPCs, PrivateLink, and VPC endpoints. Manage IAM, KMS, Secrets Manager, and audit logging
LLM Platform and 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 and maintain application services that call LLMs through clean APIs, with streaming, batching, and backoff strategies
Implement prompt and tool execution flows with LangChain or similar, including agent tools and function calling
RAG Data Systems and 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. Tune recall, latency, and cost
Build and maintain knowledge bases and data syncs from S3, Aurora, DynamoDB, and external sources
Evaluation, Observability, and Cost Governance
Create offline and online eval harnesses for prompts, retrievers, and chains. Track quality, latency, and regression risk
Instrument model and app 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, Privacy, and Compliance
Implement PII detection and redaction, access controls, content filters, and human-in-the-loop review where needed
Use Bedrock Guardrails or policy services to enforce safety standards. Maintain audit trails for regulated environments
Data Pipeline Construction
Build ingestion and processing pipelines for structured, unstructured, and multimedia data. Ensure integrity, lineage, and cataloging with Glue and Lake Formation
Optimize bulk data movement and storage in S3, Glacier, and tiered storage. Use Athena for ad-hoc analysis
IoT Deployment Management
Manage infrastructure that deploys to and communicates with edge devices. Support secure messaging, identity, and over-the-air updates
Analytics and Application Support
Partner with product and application teams to integrate retrieval services, embeddings, and LLM chains into user-facing features
Provide expert troubleshooting for cloud and ML services with an emphasis on uptime and performance
Performance Optimization
Tune retrieval quality, context window use, and caching with Redis or Bedrock Knowledge Bases
Optimize inference with model selection, quantization where applicable, GPU/CPU instance choices, and autoscaling strategies
Leveling Breakdown:
Engineer (3–5 yrs)
Scope: Independently delivers features and subsystems
Contributions: Builds CI/CD pipelines, deploys ML endpoints (Bedrock, SageMaker), develops RAG pipelines and vector search integrations, manages infra security (IAM, KMS)
Requirements: 3–5 yrs in cloud/infra/ML systems, hands-on with AWS services, experience with APIs, data pipelines, and at least one ML/LLM integration
Senior/Staff Engineer (6+ yrs)
Scope: Leads architecture and technical direction across cloud + ML infra
Contributions: Designs large-scale RAG/data systems, optimizes inference and retrieval, drives observability and cost governance, implements safety/privacy frameworks, mentors teammates
Requirements: 6+ yrs in cloud + ML infrastructure, deep AWS expertise (ECS/EKS, Bedrock, SageMaker, Step Functions), proven record scaling LLM/RAG systems, strong security and compliance practices. Bonus: IoT deployments, GPU/quantization, aviation/safety-critical experience
Benefits
Comprehensive Healthcare Coverage: Enjoy peace of mind with our generous health, vision, and dental benefits, with 75% of costs covered by the company for the employee. Note: Starting January 1, 2025 our coverage is increasing. Beacon AI will cover 80% of healthcare coverage costs for the employee and 25% for their dependents
Paid Time Off: Recharge and relax with 3 weeks of paid vacation, in addition to 14 company-paid holidays each year
Connectivity Stipend: Stay connected with our cell phone benefit, ensuring you have the tools you need to excel in your role
Health and Wellness Allowance: Use this towards a gym membership or subscription to a meditation app, empowering you to prioritize self-care and maintain a healthy lifestyle
Financial Planning: Prepare for the future with our 401(k) program. While we currently do not offer matching, we are committed to enhancing this benefit in the future