AI Framework Consultant

Programmers.ai; Hyderabad; Hybrid; INR 3,444,000 - 6,199,000; Part time

Job summary

Programmers.IO is seeking a hands-on AI Framework Consultant to design and establish a reusable AI-enabled software development framework for adoption across multiple projects. The role centers on integrating AI throughout the software lifecycle, from requirements and architecture to development, testing, and deployment.

The ideal candidate has practical BMAD or similar AI-driven methodologies, Human Layer approaches, agentic workflows, and experience with tools like GitHub Copilot, Claude Code,

Qualifications

• Hands-on experience designing reusable AI-enabled development frameworks.
• Experience with BMAD or similar AI-driven/spec-driven methodologies.
• Strong knowledge of enterprise architecture, APIs, microservices, cloud platforms, CI/CD, and DevOps.

Responsibilities

• Design a scalable and reusable AI-enabled development framework for adoption across multiple projects.
• Establish AI-assisted workflows across requirements, architecture, development, testing, documentation, and deployment.
• Implement BMAD or comparable spec-driven/AI-native development approaches.
• Design Human Layer checkpoints for architecture, code, security, production changes, and other critical decisions.
• Build and optimize AI agents and agentic workflows for engineering activities and automation.
• Integrate modern AI development tools and MCP-based solutions.
• Define standards for context engineering, prompt management, AI-generated code, security, testing, governance, and Responsible AI.
• Develop templates, prompts, agents, accelerators, playbooks, and engineering standards.
• Mentor development teams and drive adoption of AI-augmented software engineering practices.

Skills

Software Engineering

Solution Architecture

Technical Architecture

Framework design

BMAD methodologies

Human Layer Experience

AI agents

Agentic workflows

AI development tools

MCP Protocol

Context engineering

Prompt engineering

AI testing

Enterprise architecture

Tools

GitHub Copilot

Claude Code

Cursor

Codex

Azure AI

MCP

Job description

• Role: AI Framework Consultant
• Employment: Part Time
• Experience: 10 to 15 Years
• Salary: Not Disclosed
• Location: PAN INDIA,Jaipur,Hyderabad,Pune

Programmers.IO is currently looking to hire AI Framework Consultant on Strong background in Software Engineering, Solution Architecture, or Technical Architecture. Hands-on experience designing development frameworks or reusable engineering accelerators. Experience with BMAD or similar AI-driven/spec-driven development methodologies. Strong understanding of Human Layer Experience with agentic AI, AI agents, and multi-agent workflows. Practical experience with AI development tools such as GitHub Copilot, Claude Code, Cursor, Codex, or equivalent. Exposure to MCP (Model Context Protocol) and AI tool integrations. Strong knowledge of context engineering, prompt engineering, AI-assisted architecture, code generation, and AI-assisted testing. Strong understanding of enterprise architecture, APIs, microservices, cloud platforms, CI/CD, and DevOps. Ability to evaluate AI tools and determine how they can improve developer productivity, engineering quality, and delivery speed. Job Description: AI Framework Consultant Engagement Type: Part-Time / Consulting Work Mode: Remote / Hybrid Experience Level: Senior / Architect-Level Time Commitment: Flexible, based on project requirements

Role Overview

We are looking for a hands-on AI Framework Consultant to design and establish a reusable AI-enabled software development framework that can be adopted across existing and future projects. The role will focus on integrating AI throughout the software development lifecycle, from requirements and architecture to development, testing, documentation, and deployment. The ideal candidate should have practical experience with BMAD or similar AI-driven/spec-driven methodologies, Human Layer approaches, agentic workflows, and AI-assisted development tools. The objective is to help our engineering teams accelerate development, improve quality and consistency, and effectively use AI while maintaining appropriate human oversight and governance.

Key Responsibilities

• Design a scalable and reusable AI-enabled development framework for adoption across multiple projects.
• Establish AI-assisted workflows across requirements, architecture, development, code review, testing, documentation, and deployment.
• Implement BMAD or comparable spec-driven/AI-native development approaches.
• Design Human Layer checkpoints for architecture, code, security, production changes, and other critical decisions.
• Build and optimize AI agents and agentic workflows for engineering activities and automation.
• Integrate modern AI development tools such as GitHub Copilot, Claude Code, Cursor, Codex, Azure AI, and MCP-based solutions.
• Define standards for context engineering, prompt management, AI-generated code, security, testing, governance, and responsible AI usage.
• Develop reusable templates, prompts, agents, accelerators, playbooks, and engineering standards.
• Mentor development teams and drive the adoption of AI-augmented software engineering practices.

Good To Have Skills

• Azure, AWS, or GCP experience.
• Semantic Kernel, LangChain, or similar orchestration frameworks.
• AI governance and Responsible AI experience.
• Experience building internal developer platforms or enterprise engineering frameworks.
• Consulting experience across multiple technical teams or client projects.

Skills And Knowledge

• Strong background in Software Engineering, Solution Architecture, or Technical Architecture. Hands-on experience designing development frameworks or reusable engineering accelerators. Experience with BMAD or similar AI-driven/spec-driven development methodologies. Strong understanding of Human Layer Experience with agentic AI, AI agents, and multi-agent workflows. Practical experience with AI development tools such as GitHub Copilot, Claude Code, Cursor, Codex, or equivalent. Exposure to MCP (Model Context Protocol) and AI tool integrations. Strong knowledge of context engineering, prompt engineering, AI-assisted architecture, code generation, and AI-assisted testing. Strong understanding of enterprise architecture, APIs, microservices, cloud platforms, CI/CD, and DevOps. Ability to evaluate AI tools and determine how they can improve developer productivity, engineering quality, and delivery speed.