Conductor AI
Full Stack Software Engineer
About this role
Join an early-stage startup building AI-powered document processing solutions for government and commercial sectors. As a full stack engineer, you'll design and implement a platform combining LLMs, backend APIs, and web frontends while working on a small technical team shaping company strategy.
What you'll do
- Design system architecture integrating multiple AI models, backend APIs, and frontend applications
- Develop full stack code balancing velocity with maintainability in a small team environment
- Collaborate with users and stakeholders to define product requirements and drive roadmap execution
- Contribute to company strategy and culture development as the team grows
- Lead technical initiatives involving team members with varying technical expertise
What they're looking for
- Python and TypeScript proficiency
- System design and architecture
- LLM and AI application development
- Cybersecurity principles and best practices
- Full stack web development
- User interaction and requirements gathering
- Communication (written and verbal)
- Proactive ownership and initiative
Benefits
- Competitive base salary ($160,000–$250,000) with significant equity upside
- Annual merit refreshes based on impact
- Flexible location: New York, East Coast, or fully remote within US
- Opportunity to define role as company scales
- Work on mission-critical, high-impact problems with state-of-the-art technology
- Small, tight-knit team environment with growth potential
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Conductor AI
Conductor AI builds AI-powered document processing solutions for government and commercial sectors. The company is hiring forward-deployed software engineers and full stack engineers to configure its platform, gather customer feedback, and develop production code across Python, TypeScript, and web technologies.
View all jobs at Conductor AILikely interview questions
- Walk us through your experience building full-stack applications with TypeScript/React and Python. What was the most complex system you've architected end-to-end?
- Describe your experience working with LLMs and AI engineering techniques. How have you optimized LLM-based systems for accuracy and consistency?