Software Engineer, AI Safety & Systems
About The Position
We are hiring a Founding AI Safety & Systems Engineer to build the core technical systems that detect, analyze, and mitigate AI risks in production. This role sits at the intersection of Software engineering, ML systems, and AI safety. You will design and implement systems that inspect model behavior, process large-scale signals, and enforce safety and governance policies in real time. This is not a research-only role. You will focus on turning safety ideas into robust, scalable production systems that enterprises can trust. This role is ideal for an engineer who understands how modern AI systems work, cares deeply about correctness and robustness, and wants to shape how AI safety is implemented in the real world.
Requirements
- 5+ years of professional software engineering experience
- Strong backend or systems engineering background
- Experience building production systems with strict correctness requirements
- Ability to reason about complex system behavior and edge cases
- Comfortable working with ML-adjacent systems, even if not a researcher
Nice To Haves
- Experience working on AI safety, trust, or reliability systems
- Familiarity with LLMs, model inference pipelines, or ML evaluation systems
- Experience processing large-scale structured and unstructured data
- Strong interest in AI governance, safety, or responsible deployment
- Startup experience or ownership of greenfield systems
Responsibilities
- Build systems that analyze and evaluate AI behavior at runtime, including: Input and output inspection, Intermediate signal processing, Policy and risk evaluation pipelines
- Design and implement backend services that support: Real-time moderation and safety decisions, High-throughput model post-processing, Secure, auditable decision paths
- Work closely with ML and product teams to: Translate safety requirements into system designs, Integrate models, probes, and classifiers into production, Debug model and system behavior end-to-end
- Implement scalable data pipelines using: Python, Go, Rust, and C++, PostgreSQL, document databases, Elasticsearch, and similar systems
- Build infrastructure that emphasizes: Correctness over heuristics, Clear failure modes and graceful degradation, Strong observability and explainability
- Establish best practices for: Evaluating and validating safety systems, Versioning and rolling out safety logic, Monitoring regressions and edge cases
Benefits
- Market-aligned compensation
- Significant founding engineer equity
- Medical, Dental, Vision, Life insurance, 401(k), in-office lunch, etc.
- Visa sponsorship
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
