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:
Acting as a hands-on architect who can break down complex requirements, design robust backend architectures, and participate directly in implementation.
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.
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.
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.
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