Develop scalable frontend and backend systems using .NET, Node.js, React, and Next.js while applying an AI-first, specification-driven workflow. Responsibilities include creating technical specifications and API contracts, using AI tools to generate and test code, developing REST and GraphQL APIs, reviewing AI-generated outputs for security and quality, automating engineering processes, and documenting architecture and reusable prompt frameworks.
Job Title: Spec-Driven AI-Assisted Software Developer (AI-First / Prompt Engineering Architecture-Led Engineering)
Employment Type: Full Time
Experience: 3 to 7yrs
Position Overview:
We are seeking a new-age Spec-Driven AI-Assisted Software Developer who builds software faster and smarter by combining structured specifications, AI copilots, and automation with strong engineering fundamentals. This role blends software engineering, system design, prompt engineering, and AI-driven workflows. Instead of starting directly with code, you will follow an AI-first delivery approach:
Think → Specify → Generate → Validate → Refine.
The ideal candidate already uses AI tools such as ChatGPT, GitHub Copilot, Claude or Cursor as part of daily development and treats AI as an engineering partner rather than just a utility.
Key Responsibilities:
Convert business and product requirements into structured technical artefacts including: -Technical specifications
-API contracts
-ER diagrams
-Flow diagrams
-Acceptance criteria
Create AI-ready, well-structured specifications to enable faster and more reliable implementation
Use AI tools to generate boilerplate code, scaffold APIs and services, write automated tests, refactor legacy code and produce documentation
Design and maintain high-quality prompts and reusable AI workflows
Validate, optimise and secure all AI-generated code before production use
Design and build scalable backend and frontend systems using .NET, Node.js, React and Next.js
Develop and maintain REST and GraphQL APIs
Build backend services, frontend applications, system integrations and automation scripts
Write automated unit and integration tests and ensure overall solution quality
Review AI-generated outputs for performance, security and maintainability
Reduce manual engineering effort by introducing automation and internal tooling
Document engineering patterns, architecture decisions and development playbooks
Create and maintain reusable prompt templates and AI delivery frameworks
Actively contribute to building an AI-first engineering culture within the team
Required Skills & Experience
3–7 years of hands-on software development experience
Strong coding skills in at least one of the following: .NET, Node.js, TypeScript or React
Solid experience in API development (REST and/or GraphQL)
Good understanding of relational and/or NoSQL databases
Working knowledge of Git and Docker
Strong understanding of system design and software architecture
Hands-on experience using AI coding tools such as ChatGPT, GitHub Copilot, Claude, Cursor or similar
Strong prompt-engineering and structured-thinking mindset
Experience creating and working with detailed technical specifications
Ability to review, refine and production-harden AI-generated code
Strong communication, collaboration and documentation skills
Automation-first and design-first engineering mindset
Good to Have (Technical Exposure)
Experience with AWS, Terraform and DevOps tooling
Exposure to microservices and event-driven architectures
Experience with AI workflows such as RAG or internal AI platforms
Experience building internal developer tools or accelerators
Startup or fast-paced product engineering background
Experience working with GraphQL at scale
Preferred Qualifications:
Exposure to cloud-native and modern CI/CD practices
Prior experience contributing to architectural decisions and platform design.
Demonstrated interest in AI-driven software engineering and developer productivity tooling
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