Software Engineer

The Role:\nAs a Software Engineer, you will be a core member of our engineering team, building the backend systems that power both our core product and our agentic AI platform. This is a backend-focused role for engineers who thrive on solving challenges at a massive scale; full-stack experience is a strong plus. You will design, build, and deploy the critical infrastructure and services that handle everything from petabyte-scale data retrieval to running thousand-step AI agents. This is a unique opportunity to tackle some of the most demanding problems in computing today and build systems with government-level security and reliability.\n\nWhat You'll Do:\n- Engineer Core Product Features: Take ownership of building and delivering scalable, secure backend services that directly power our user-facing product.\n- Build Petabyte-Scale AI Pipelines: Design and implement robust systems for retrieval over petabyte-scale document troves and engineer pipelines for large-scale data collection.\n- Develop Advanced Agentic Systems: Build the backend infrastructure for complex, 1000-step planning agents that help companies with critical processes, and create organizational-level interfaces for human-AI collaboration.\n- Contribute to the architecture and management of our cloud infrastructure, ensuring high availability and performance.\n- Engineer systems with the highest standards of security and reliability to protect the world's most sensitive data.\n\nWhat We're Looking For:\n- Experience: 4-8 years of professional software engineering experience (not intended for recent graduates).\n- Proven Technical Impact: A demonstrated track record of delivering complex, high-quality backend systems.\n- Product Building Experience: You have a history of building and launching robust products or platforms, ideally in a hyper-growth or 0-to-1 startup environment.\n- Deep Technical Expertise: You are a hands-on, highly technical backend engineer with proficiency in:\n- Python: For building robust backend services and AI pipelines.\n- Large-Scale Systems: Experience with distributed systems, large-scale data processing (e.g., Spark), and cloud platforms (Azure, AWS, GCP).\n- TypeScript and React: Experience is a plus for contributing across the stack but is not required.\n- Ownership and Drive: You take full ownership of your projects, demonstrating a strong bias for action and the ability to manage complex priorities in a fast-paced environment.\n- Pragmatic Problem-Solving: You are a proactive and resourceful problem-solver who is comfortable with ambiguity and sees immense challenges as opportunities for growth.\n- Clear Communication: You can articulate complex technical ideas clearly and persuasively to stakeholders across the organization.\n\nMinimum Qualifications\n- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience\n- 5+ years of professional software engineering experience with demonstrated impact on production backend systems\n- Hands-on proficiency in Python and experience with distributed systems, large-scale data processing, or cloud infrastructure\n- Strong written and verbal communication skills — you will work closely with cross-functional teams and must clearly convey complex technical decisions to engineering peers and non-technical stakeholders