Integration & Implementation of AI Tools Specialist Full Time

About the role
You’ll evaluate, integrate, and scale tools like Claude Code, Manus, YourAtlas, Cursor, Windsurf, ChatGPT/Codex, Gemini, and emerging agentic frameworks to accelerate how Qualitesoft ships software. This is a high-leverage role: every workflow you AI-enable compounds across our entire global delivery org.

What you’ll do

• Architect and implement integrations between modern AI tools (Claude Code, Manus, YourAtlas, Cursor, Windsurf, ChatGPT/Codex, Gemini) and our codebases, CI/CD pipelines, ticketing, docs, and knowledge systems.
• Build prompt libraries, agent workflows, and end-to-end automations that materially reduce engineering and QA cycle time.
• Pilot, benchmark, and roll out new AI tools across teams with clear ROI, quality, and adoption metrics.
• Create internal playbooks, training, and guardrails for safe, effective AI tool usage across delivery teams.
• Partner with engineering, QA, product, and delivery leads to embed AI-native workflows into day-to-day delivery.
• Stay ahead of the curve — continuously evaluate emerging models, agents, and MCP servers; bring the best into production.

What we’re looking for

• Hands-on production experience with Claude Code, Manus, YourAtlas, and Cursor.
• Comfort with at least 3+ additional modern AI coding/agent tools (e.g., Windsurf, Codex, Gemini CLI, Lovable, v0, Bolt, Devin, Replit Agent).
• Proven track record shipping real projects built with AI coding tools — must share live links.
• Strong fundamentals in TypeScript / Python and modern web + cloud stacks.
• Experience designing agentic workflows, MCP servers, or custom tool integrations.
• Ability to evaluate tools objectively and communicate trade-offs to engineering leadership.
• Bias for action, ownership mindset, and a track record of shipping fast without sacrificing quality.

Nice to have

• Experience with Lovable, n8n, LangGraph, CrewAI, or AutoGen.
• Built internal AI platforms, copilots, or developer-productivity tooling.
• Background in QA automation or DevOps acceleration with AI.
• Open-source contributions to AI/agent frameworks.