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about 1 month ago
Requirements and responsibilities
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 AssessmentAnalyze 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 ContributionContribute 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 PracticesDesign 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.Requirements7+ 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 integrationsWebhooks and asynchronous workflowsEvent-driven architecturesTransaction/state managementSystem reliability and security principlesAn ideal candidate should clearly understand:where AI accelerates development safelywhere it increases architectural or delivery riskand how to structure workflows accordinglyTechnical Stack ContextProjects typically involve:Node.js (TypeScript), Express / NestJSReact (modern architecture)REST / GraphQL APIsPostgreSQL / NoSQL databasesAWS (Lambda, EC2, S3, RDS, SQS)CI/CD pipelinesDocker / containerizationExperience 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.BenefitsJoin Our Team!
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