Technical Architect / Tech Lead – AI-Native Engineering

Overview

We are looking for experienced Technical Architects / Tech Leads who can combine strong software engineering and architecture fundamentals with AI-enabled and AI-native development practices. The role requires high ownership, architectural depth, and the ability to drive rapid delivery using Spec-Driven Development (SDD) and AI-assisted engineering workflows.

Job Description

Key Responsibilities

Lead architecture and end-to-end delivery of scalable products using AI-native engineering models

Define technical specifications, architecture standards, and structured execution frameworks for AI-assisted development

Drive engineering excellence across system design, scalability, automation, reliability, and security

Establish and scale AI-enabled development practices, including AI copilots, code generation, workflow automation, and accelerated delivery models

Mentor teams on modern engineering practices, AI-assisted workflows, and scalable architecture patterns

Collaborate with product, engineering, and business stakeholders in fast-paced, high-ambiguity environments

Required Skills & Experience

8+ years of software engineering experience with recent Technical Architect / Tech Lead responsibilities

Strong expertise in system architecture, backend engineering, APIs, distributed systems, and scalable platforms

Experience with Spec-Driven Development (SDD), automation-first engineering, CI/CD, and modern development practices

Strong proficiency in Python and modern backend frameworks such as FastAPI, Django, or Flask

Ability to balance speed, quality, scalability, and engineering governance in startup-like environments

Preferred Experience

Hands-on experience with AI-enabled or AI-native development workflows, including LLM-assisted engineering and AI coding tools

Experience working in AI-native startups or innovation-led engineering teams

Exposure to prompt engineering, LLM integrations, AI orchestration frameworks, and rapid prototyping models

Track record of building scalable engineering practices and driving technology transformation initiatives

Skills & Requirements

Technical Architecture, Technical Leadership, AI-Native Engineering, Software Engineering, System Architecture, Backend Engineering, API Development, Distributed Systems, Scalable Platforms, Spec-Driven Development, Automation-First Engineering, CI/CD, Python, FastAPI, Django, Flask, System Design, Scalability, Reliability Engineering, Security Engineering, AI-Assisted Development, AI Copilots, Code Generation, Workflow Automation, Engineering Excellence, Team Mentoring, Stakeholder Management, Product Collaboration, LLM-Assisted Engineering, AI Coding Tools, Prompt Engineering, LLM Integrations, AI Orchestration Frameworks, Rapid Prototyping, Technology Transformation, Engineering Governance, Cloud Architecture, Microservices Architecture, DevOps, Agile Development, Technical Specifications, Solution Design, Software Development Lifecycle (SDLC)

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