[Hiring] Founding Engineer @Gen7Labs

Role Description

Join Gen 7 Labs as our Founding Engineer to shape two working AI infrastructure products, own critical production decisions, and serve as the company's second qualified technical reviewer.

What we are building

Gen 7 Labs is building infrastructure for reliable AI coding agents. Our first two products are working systems moving toward initial customer deployments, designed to deliver value independently or together.

Product # 1

• Persistent project memory for coding agents.
• The Product captures durable decisions, conventions, constraints, and guardrails from agent interactions.
• Resolves superseded guidance and serves current project state across sessions through MCP or HTTP.

Product # 2

• A governed platform for running coding agents against real repositories.
• The Product combines isolated worktrees, a kernel sandbox enabled in the production profile, human-gated write-back, and controls for cost, revocation, audit, and crash recovery.

Both products are already working and under active development. They have extensive automated testing and continuous integration. The opportunity is to shape the production architecture, harden the critical security and reliability boundaries, and help take the systems into their first customer deployments.

The role

• Architectural authority: You will be the second opinion on consequential design decisions and the primary decision-maker in many areas you own.
• Full end-to-end ownership: You will take systems from design through deployment and operation.
• Security-review authority: Hold responsibility for several security decisions and threat-model sign-offs.
• Team building: Help set the technical bar, shape the interview loop, and mentor the next one or two engineers.

What you will own

• Production infrastructure and operations: Build the GCP foundation end to end.
• Security and reliability controls that fail closed: Turn tenant isolation, sandboxing, credentials, approvals, audit, and repository governance into enforceable production contracts.
• Trustworthy evaluation for probabilistic systems: Build corpus provenance and statistical decision rules.
• Scale and performance correctness: Redesign product paths and improve indexing, pagination, and query patterns.
• Product architecture across the full surface: Work on coding-agent memory path and related components.
• Engineering systems and technical standards: Make branch protection, review, CI, documentation, and deployment posture enforceable.

Technical environment

• Product # 1: Python 3.12; typed synchronous services; PostgreSQL 16; pgvector/HNSW; Alembic; FastMCP; Docker; GCP Cloud Run.
• Product # 2: TypeScript 6 / Node 24; NestJS on Fastify; PostgreSQL 16 with Drizzle; WorkOS; AES-256-GCM with GCP KMS; Next.js 16 / React 19; Docker cell topology; Claude Agent SDK.
• Infrastructure: GCP, Terraform, IAM, Workload Identity, deployment automation, backup/DR.

Qualifications

• PostgreSQL at genuine depth is the central technical requirement.
• Production backend depth: Experience in Python and TypeScript/Node.js.
• Multi-tenant system experience: Built or hardened authentication, authorization, tenant isolation, and data-boundary tests.
• Operational ownership: Experience with containers, deployment, observability, incident response, and recovery.
• Product judgment in ambiguity: Experience in high-agency environments.
• Verification mindset: Think in failure modes and prove controls.
• Clear written communication: Design records, change narratives, and operational notes.
• AI-assisted engineering fluency: Comfortable reviewing and improving machine-generated code.

Equal opportunity and accommodations

Gen 7 Labs evaluates candidates on role-related qualifications and welcomes applicants from a wide range of backgrounds. We provide reasonable accommodations throughout the application and interview process; candidates can tell the recruiter what would help them participate fully.