AI Framework Consultant (BMAD/Human Layer/Human-in-the-Loop)

Programmers.io

Pune District

Hybrid

INR 3,444,000 - 5,510,000

Part time

11 days ago

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Job summary

Programmers in Pune seeks a hands-on AI Framework Consultant to design and establish a reusable AI-enabled software development framework for adoption across 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 methodologies, Human Layer/Human-in-the-Loop approaches, agentic

Qualifications

  • Hands-on experience in designing development frameworks or reusable accelerators.
  • Experience with BMAD or similar AI-driven/spec-driven development methods.
  • Strong understanding of Human Layer/Human-in-the-Loop workflows.
  • Knowledge of agentic AI, AI agents, and multi-agent workflows.
  • Exposure to AI tool integrations and context/prompt engineering.
  • Background in enterprise architecture, APIs, microservices, cloud, CI/CD.

Responsibilities

  • Design a scalable, reusable AI-enabled development framework for multiple projects.
  • Establish AI-assisted workflows across requirements, architecture, development, testing, and deployment.
  • Implement BMAD or comparable AI-native development approaches.
  • Create Human Layer/Human-in-the-Loop checkpoints for critical decisions.
  • Build AI agents and agentic workflows to automate engineering tasks.
  • Integrate tools like GitHub Copilot, Claude Code, Cursor, Codex, and Azure AI.
  • Define standards for context engineering, prompt management, and AI-generated code.
  • Develop templates, prompts, agents, accelerators, playbooks, and standards.
  • Mentor teams and promote AI-augmented software engineering practices.

Skills

Software Eng
Solution Architecture
Tech Architecture
BMAD methodologies
Human-in-the-Loop
Agentic AI
AI Tools
Context Eng
CI/CD / DevOps
Enterprise Arch

Tools

GitHub Copilot
Claude Code
Cursor
Codex

Job description

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/Human-in-the-Loop 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/Human-in-the-Loop 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.
Must-Have Skills
  • 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/Human-in-the-Loop workflows.
  • 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.
Good-to-Have
  • 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.
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