AI Engineer

Role Impact:

• Architect and implement a robust agentic framework supporting tool use, context retrieval, memory, and planning for next-generation AI applications.
• Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making, ensuring reliability in high-sensitivity environments.
• Extend and scale LLM infrastructure, including prompt engineering, RAG, and evaluation loops, while designing for safety, observability, and auditable agent behaviors.

Team and Culture:

• The AI Engineering team operates with high collaboration and interdependence, fostering an inclusive culture that values diverse personalities, strong communication, and a solutions-oriented mindset.
• Engineers are expected to demonstrate high ownership, adaptability, and creative problem-solving in a fast-paced environment where priorities can change quickly.
• The team emphasizes rapid experimentation, ethical AI deployment, and close cross-functional collaboration, with a focus on outcomes and continuous feedback.

Compensation and Expectations:

• Base salary range is $200,000 - $275,000 per year, with potential eligibility for equity participation, reflecting skills, qualifications, experience, and geographic location.
• The role requires a strong engineering background with deep experience in backend or systems work, hands-on experience with LLMs and agents, and a thoughtful approach to system design for safety and scalability.
• AI fluency is a baseline expectation, with candidates evaluated on how they apply AI to accelerate workflows, structure problems, and improve output quality, aligning with a mission to build a safer world through technology.