Founding AI Engineer

About the role

As a Founding AI Engineer, you'll build the intelligence that powers autonomous software repair. You'll design and train systems that understand codebases, reason about failures, and generate fixes that work.

Responsibilities

• Build detection systems that identify anomalies and failures across millions of codebases
• Develop diagnostic models that trace bugs to root causes through complex execution paths
• Create code generation systems that produce fixes developers trust to ship
• Design reasoning engines that understand when to act autonomously and when to defer to humans
• Develop evaluation frameworks that measure real-world reliability, not benchmark scores
• Design and implement infrastructure that serves AI models at scale with low latency
• Ensure the work you do reflects immense pride and a desire to build the best products on earth
• Collaborate with a founding team to define how AI rebuilds software reliability

Requirements

• Depth over breadth – You'll go deeper into problems than most think necessary, finding elegance where others accept complexity
• Craft at velocity – Ship exceptional work quickly without compromising on quality that matters. Both form and function, never just one or the other
• "High Standards Win" – Question everything, rebuild from scratch when needed, never accept "that's how it's done" or "good enough"
• Ownership without borders – Your domain is whatever needs doing to make Interfere exceptional. No excuses
• Domain expertise: Deep experience with LLMs, prompt engineering, fine-tuning, or AI infrastructure. You've shipped AI systems that real users depend on
• Experience with code analysis, program synthesis, or software engineering AI agents
• Track record with RAG systems, agentic workflows, or multi-step reasoning
• Deep familiarity with model serving infrastructure, vector databases, or real-time inference
• Background in developer tools, observability platforms, or infrastructure
• Portfolio of work that demonstrates exceptionality - research papers, open source contributions, production AI systems you've built

Qualifications

• Experience with AI and machine learning
• Strong programming skills in Python or equivalent
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Understanding of computer science fundamentals including algorithms, data structures, and software engineering principles
• Experience with natural language processing (NLP)
• Experience with distributed systems and cloud computing
• Experience with Kubernetes or similar container orchestration tools
• Experience with observability tools such as Prometheus, Grafana, or ELK stack
• Experience with version control systems such as Git
• Experience with continuous integration and delivery (CI/CD) pipelines
• Experience with automated testing frameworks such as pytest or unittest
• Experience with distributed tracing tools such as Jaeger or Zipkin
• Experience with large-scale data processing and storage systems such as Apache Spark or Hadoop

Skills

• Python
• TensorFlow
• PyTorch
• Deep Learning
• Natural Language Processing (NLP)
• Distributed Systems
• Kubernetes
• Observability Tools
• Version Control Systems
• Continuous Integration and Delivery (CI/CD) Pipelines
• Automated Testing Frameworks
• Distributed Tracing Tools
• Large-Scale Data Processing and Storage Systems

Benefits

• Health, dental, and vision coverage
• Visa sponsorship for exceptional international candidates

Pay

• $160K - $210K

Schedule

• New York, NY, US