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
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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!