Software Engineer, Full Stack (AI and Automation)

Join our founding engineering team building the AI automation layer for enterprise infrastructure. You’ll work directly with our CTO to architect and scale backend systems that power intelligent agents running on specialized enterprise software environments.

This isn’t about building yet another SaaS app. You’re building intelligent agents that navigate complex desktop environments, parse documents, integrate with cutting-edge AI models, and execute multi-step workflows autonomously in production environments where reliability is non-negotiable.

What You’ll Be Doing Build AI-Powered Automation Systems

• Design and implement intelligent agents that automate complex, repetitive workflows across specialized enterprise software platforms.
• Architect backend services that orchestrate agentic workflows, handling concurrency, reliability, and observability at scale.
• Build agentic frameworks and tools to power enterprise agentic use.
• Build systems that integrate with state-of-the-art AI models (LLMs, vision models, document parsing) to generate workflows, extract structured data, and drive adaptive execution logic.

Scale Backend Infrastructure

• Own backend services that power our agent deployments.
• Build robust APIs and data pipelines that connect field operations to back-office systems.
• Ensure production reliability, performance monitoring, and incident response for mission-critical customer workflows.

Collaborate & Ship

• Work directly with our CTO and founding team to break down ambitious product goals into shippable milestones.
• Bring cutting-edge agentic capabilities into production.
• Deploy and iterate rapidly based on real customer feedback from enterprise partners.
• Use AI tools throughout your daily workflow to accelerate development and solve complex problems.

• Professional engineering experience building production systems
• Fluency in TypeScript or Python or Rust Bonus for more than one.
• AI-native mindset: You use AI tools (Claude, Cursor, GitHub Copilot, etc.) every day to accelerate your work and tackle hard problems
• Proven problem-solving ability: You can take ambiguous requirements, break them down, and ship working solutions
• Startup DNA: You thrive in fast-moving environments where you own outcomes, not just tasks
• Hands-on experience with building scalable distributed systems and backend services
• Integrating with AI/ML models (OpenAI, Anthropic, or similar APIs)
• Deploying and managing production services
• Database design and optimization

Nice to Have

• Experience with distributed workflow orchestration (Temporal.io, Cadence, or similar)
• Infrastructure as code and containerization (Docker, Kubernetes)
• Background in automation, RPA, or desktop application integration
• Prior experience at an early-stage startup (seed to Series A)
• Familiarity with industrial/enterprise software, legacy systems, or domain-specific engineering tools

• Get energized solving technical problems in industries that have yet to be disrupted by automation- we’re building a first!
• Want to see your code immediately impact real customers doing real work
• Prefer shipping and iterating to endless planning and process
• Believe AI tools should be core to how engineers work, not a side experiment
• Want meaningful equity and influence at a seed-stage company