Full-Stack Software Engineer

• AI-assisted development: You already use tools like Claude Code, Cursor, Copilot, or similar to accelerate your work
• Testing discipline: Building test frameworks, establishing coverage standards, writing meaningful tests
• Production operations: Observability, incident response, system reliability

Nice to have

• Infrastructure as Code: Terraform, Google Cloud Platform, container orchestration
• Real-time systems: Server-Sent Events (SSE), WebSockets, streaming APIs

Our Tech stack

Go, Python, PostgreSQL, Redis/Valkey, React 19 + TypeScript, Google Cloud Platform, Terraform, Docker, Datadog, GitHub

We are looking for a Senior Full-Stack Software Engineer with 5+ years of experience to join as a core contributor building a production platform from the ground up at the intersection of process intelligence and agentic AI. You’ll be an early engineering hire at a Lightspeed-backed seed-stage company that is already transforming operations for large enterprises.

We need someone who has made architectural decisions, lived with the consequences, and iterated - a builder who writes idiomatic Go, ships React frontends, and has hands-on experience integrating LLMs into production systems. You’ll work directly with the founders and have significant technical decision-making authority in a young, clean codebase., Must-haves

• 5+ years building production software, with experience shipping across the stack and sustained ownership of meaningful systems.
• Strong backend engineering in a typed language: You have production experience in Go, C++, Java, Scala, or C and can design and operate reliable backend systems.
• Python proficiency: You can build and maintain Python services, work with async patterns, and integrate with AI/ML tooling
• PostgreSQL skills: Database schema design, migrations, and production operations
• React and TypeScript: You can build and maintain a modern React frontend (hooks, context, component composition)
• Hands-on LLM systems design: You have personally built and shipped systems leveraging LLM APIs and understand LLM development patterns (e.g., orchestration, tool calling)
• Pragmatic mindset: You know when to refactor vs. ship, when to build vs. buy, and how to manage technical debt intentionally
• Ownership mentality: You take end-to-end responsibility for features, from design through deployment and monitoring
• Comfort with ambiguity: Early-stage startup means evolving requirements and shifting priorities

Work experience

Shipped production services with concrete, verifiable contributions across the stack and sustained ownership of meaningful systems

Updated

Hard skills

A typed language + Python + PostgreSQL + React/TypeScript

Updated

Soft skills

They have proven experience iterating on features based on direct customer feedback (must have good written and verbal communication with users/customers)

Hard skills

Production LLM/AI integration experience (Understands LLM development patterns, e. g. Orchestration, Tool calling, Context management, Evals, etc. )

Updated

PostgreSQL skills: Database schema design, migrations, and production operations

Updated

Soft skills

Pragmatic mindset: they know when to refactor vs. ship, when to build vs. buy, and how to manage technical debt intentionally

Updated

Has led larger projects * can be about scope, complexity, and importance to the business. Time span alone does not make a project large.

Strongly preferred

• Customer-facing communication: Clear written and verbal communicator with users/customers