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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. Experience with IoT AWS services is a plus.
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.
We’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.
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. Experience with IoT AWS services is a plus.
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.
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More from this employer
San Carlos, USA
San Carlos, USA
San Carlos, USA
San Carlos, USA
San Carlos, USA
San Carlos, USA
San Carlos, USA
San Carlos, USA
San Carlos, USA
San Carlos, USA
San Carlos, USA
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.
Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.
Perks & Benefits (Full-Time Employees)
Healthcare: 100%* of employee medical premiums covered; 25% for dependents
Time Off: 3 weeks PTO plus 13+ paid company holidays
401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future)
Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States.
Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.
Private aviation technology company building AI pilot-assistance systems for commercial and defense pilots.
Visit company websiteJobs and hiring trendsUSD 135000-260000 yearly / year
Full-time
Senior · 4+ years experience
Hybrid
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