Lead AI Engineers

Pakistan Global Alumni Network


Date: 13 hours ago
City: Rawalpindi
Contract type: Full time
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Lead AI Engineers

By PGAN Team

Posted At | Oct 11, 2025 08:14 PM

Job applications are exclusive to registered community members. Please log in to apply or contact our team for membership inquiries.

Salary (monthly) NA Shift Day Shift Posted At Oct 11, 2025 08:14 PM Job Type Full-time Education Level Master Experience Level Senior Is Remote? No Industry Technology Company Trucare Last Date Nov 1, 2025 12:00 AM Gender No Preference Skills AI development, LLM integration, MCP setup, workflow automation, DevOps integration, Python, TypeScript, problem-solving, leadership

Details

Trucare is seeking a Lead AI Solution Engineer (LMTS) to join its AI Dev Tools & Solutions team in Rawalpindi. The ideal candidate will architect and deploy AI-driven automation tools that enhance developer productivity, software delivery, and scalability. As a technical leader, you will design and manage Model Context Protocol (MCP) systems, orchestrate multi-agent workflows, and collaborate with cross-functional teams to transform the Software Development Lifecycle (SDLC) through intelligent automation.

Responsibilities

AI Infrastructure & Automation

  • Architect and implement agentic AI solutions to automate development workflows.
  • Manage the setup, configuration, and scaling of MCP servers and clients.
  • Ensure AI systems maintain compliance, security, explainability, and ethical standards.

AI-Driven SDLC Transformation

  • Integrate AI-powered features into the SDLC to enhance code quality and productivity.
  • Define standards for prompt engineering in AI-assisted development tools.
  • Evaluate and integrate emerging AI technologies aligned with responsible AI principles.
  • Manage and optimize tools like Bitbucket, SonarQube, Jenkins, GitHub Actions, and Azure DevOps.

Engineering Excellence & Best Practices

  • Lead code reviews and ensure adherence to high-quality, scalable, and secure code standards.
  • Make architectural decisions with a focus on performance and maintainability.
  • Maintain comprehensive documentation and integrate security best practices.

Innovation & Continuous Improvement

  • Champion AI automation in developer workflows using multi-agent systems and AI copilots.
  • Drive adoption of next-generation AI tooling to continuously improve developer experience.

Requirements

  • Proven experience in building and deploying agentic AI solutions for workflow automation.
  • Strong programming skills in Python, Java, TypeScript/JavaScript.
  • Expertise in LLMs, prompt engineering, and AI-assisted development.
  • Experience with MCP servers and clients setup and management.
  • Understanding of DevOps practices, DORA metrics, and developer productivity tooling.
  • Familiarity with Windsurf or similar AI code editors is a strong plus.
  • Excellent communication, problem-solving, and leadership skills.

Benefits

  • Opportunity to lead AI-driven transformation in healthcare R&D.
  • Exposure to advanced multi-agent systems and AI developer platforms.
  • Collaborative and innovation-focused work culture.
  • Fast-paced environment with career growth opportunities.

How to Apply?

Submit your application through the LinkedIn job posting or company’s official page.

https://www.linkedin.com/jobs/view/4313239659/?eBP=NOT_ELIGIBLE_FOR_CHARGING&refId=3XcME2yvF2mpEqCvPMdNuQ%3D%3D&trackingId=%2BM4RLjL6kxcHTBhA5ACf0Q%3D%3D&trk=flagship3_search_srp_jobs&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_jobs%3BHE%2FQds17SaezyU7TjICJDg%3D%3D&lici=%2BM4RLjL6kxcHTBhA5ACf0Q%3D%3D

Ai-engineering Machine-learning Healthcare Automation DevOps Python JavaScript MCP Prompt-engineering Multi-agent

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Disclaimer: The Pakistan Global Alumni Network (PGAN) is an independent, alumni-led initiative that connects graduates of the world's leading universities who share roots in Pakistan. PGAN is not formally affiliated with, nor endorsed by, any single university or its official alumni office. All references to universities are solely descriptive of the academic backgrounds of our members.

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