Software Engineer, Cloud Infrastructure; Seniority Levels

About Beacon AI

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 Lang Chain. 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.

• Cloud Infrastructure Setup and Maintenance
• LLM Platform and Runtime
• RAG Data Systems and Vector Search
• Evaluation, Observability, and Cost Governance
• Safety, Privacy, and Compliance
• Data Pipeline Construction
• IoT Deployment Management
• Analytics and Application Support
• Performance Optimization

• 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 Lang Chain or similar.
• AWS Depth: Strong with core AWS services such as VPC, IAM, KMS, Cloud Watch, S3, ECS/EKS, Lambda, Step Functions, Bedrock, and Sage Maker.
• Data Engineering
  
  Skills:
  
  Comfortable building ingestion and transformation pipelines in Python. Familiar with Glue, Athena, and event‑driven patterns using Event Bridge 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, Open Search, 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.
• Dev Ops or Dev Sec Ops  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.

• Healthcare: 100% of employee medical premiums covered; 25% for dependents.
• Time Off: 3 weeks PTO plus 13+ paid company holidays.
• Stipends:
  Monthly phone and wellness benefits.
• 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.

$135K – $260K Offers Equity. The base salary range listed reflects the full scope of this position, which is open to multiple levels (L3–L6), and is informed and defined through professional‑grade salary surveys and compensation data sources. The actual offer will be determined based on the candidate’s experience, background, and the level at which they are hired.

We use clear benchmarks to provide fair salaries and meaningful equity, ensuring compensation aligns with your skills and contributions. Beacon is financially healthy, well‑funded, and ready to reward those who help achieve our ambitious goals. We use Pave to keep up to date with market pay rates and make proactive adjustments.