Fullstack Engineer

Role & responsibilities

• 3 to 6 years shipping production web applications, front to back, with evidence you owned features not just tickets.
• Deep TypeScript/JavaScript: Node.js (Express or equivalent) and React in production at real scale.
• Strong SQL and NoSQL: schema design, indexing, query tuning in Postgres and/or MongoDB; Redis for caching and queues.
• Hands-on AI engineering: you have built RAG pipelines, agents, or LLM-powered features and can walk us through one honestly what worked, what broke, how you measured quality.
• Linux and Docker fluency: write Dockerfiles, run Compose stacks, debug live servers, read logs, understand what your process tree is doing.
• CI/CD experience (any pipeline system) and disciplined Git/PR workflows.
• Solid API craft: REST design, WebSockets/SSE, auth flows, validation, versioning, and clear error contracts.
• Product instinct: you ask “why does this feature exist?” and “what happens when it fails?” without being told.
• Clear written communication — design docs, PR descriptions, postmortems — in a team that works from them.
• CS/IT degree or equivalent practical experience.

Preferred candidate profile

• Salesforce platform exposure: Apex, LWC, or Salesforce APIs (REST, Metadata, Tooling, Bulk) — or strong interest in the ecosystem.
• MCP (Model Context Protocol), LLM Routers, or agent frameworks (LangGraph, CrewAI, Hermes-style agents).
• Python for tooling, provisioning, data pipelines, and evals.
• Observability: structured logging, metrics, Grafana/Prometheus or equivalent.
• Open-source contributions or self-hosted homelab/infra projects.
• Familiarity with enterprise SaaS concerns: multi-tenancy, billing, audit trails.