(796) Senior AI-Enabled Architect (Node.js / React)

apartmentAltoros placeWarszawa schedulePełny etat calendar_month 

We are looking for a senior, hands-on architect (7+ years of experience) who can analyze complex project scopes, assess realistic optimization potential using AI-assisted development practices, through multi-agent approach, and directly contribute to technical implementation when needed.

This role combines two key dimensions:

  1. Acting as a hands-on architect who can break down complex requirements, design robust backend architectures, and participate directly in implementation.
  2. Bringing structured, practical experience in AI-first app development — not just using LLM-based tools individually, but designing effective workflows around them to safely improve delivery efficiency.

The primary focus of this role is project-level impact: evaluating new opportunities (especially integration-heavy or high-complexity systems), identifying safe optimization strategies, and — when required — leading or contributing to delivery of those solutions.

This is a practical, execution-driven technical position for someone who has already applied AI-first development practices in real production environments and possesses a strong business-level understanding of software development projects.

Responsibilities:

Architecture & Technical Assessment
  • Analyze project requirements and produce structured technical breakdowns.
  • Identify realistic AI-assisted optimization opportunities during discovery and pre-sales.
  • Design backend architectures in Node.js / TypeScript for integration-heavy systems.
  • Define safe implementation strategies for complex domains (external APIs, transactional flows, asynchronous processing).
  • Assess architectural risks and trade-offs in early project stages.
Hands-On Contribution
  • Contribute directly to implementation of critical backend components.
  • Guide delivery teams in high-complexity architectural decisions.
  • Review and validate AI-generated code in sensitive areas.
  • Support projects through early-phase architecture stabilization.
AI-Enabled Development Practices
  • Design and apply structured AI-assisted development workflows (prompt patterns, review flows, guardrails, usage boundaries).
  • Define practical pipelines for safe AI usage in real project contexts.
  • Establish quality controls for AI-generated code (validation, testing, architectural alignment).
  • When needed, support and mentor engineers in applying AI tools responsibly within project boundaries.
Requirements
  • 7+ years of professional software engineering experience.
  • Strong backend expertise in Node.js (TypeScript).
  • Solid frontend experience with React.
  • Experience in architectural or technical leadership roles (Tech Lead / Architect / Staff-level).
  • Demonstrated hands-on experience implementing structured AI-assisted development workflows in real projects.
  • Experience setting up practical AI usage pipelines (review processes, guardrails, validation strategies).
  • Experience evaluating scope and effort during pre-sales or technical discovery.
  • Strong understanding of:
  • External API integrations
  • Webhooks and asynchronous workflows
  • Event-driven architectures
  • Transaction/state management
  • System reliability and security principles

An ideal candidate should clearly understand:

  • where AI accelerates development safely
  • where it increases architectural or delivery risk
  • and how to structure workflows accordingly

Technical Stack Context

Projects typically involve:

  • Node.js (TypeScript), Express / NestJS
  • React (modern architecture)
  • REST / GraphQL APIs
  • PostgreSQL / NoSQL databases
  • AWS (Lambda, EC2, S3, RDS, SQS)
  • CI/CD pipelines
  • Docker / containerization

Experience in integration-heavy or high-risk domains (e.g., fintech, payment systems, security-sensitive platforms) is valued.

We are not looking for someone who simply uses AI tools for individual productivity.

We are looking for an engineer who has already structured AI-enabled workflows within real delivery environments and understands both their advantages and limitations.

Benefits

Join Our Team!

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