Description

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.

Required Qualifications 

• 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

Key Skills

Education

Any Graduate