Role Summary

We are looking for a hands-on AI Engineer responsible for designing and building advanced AI-powered systems that deliver real-world impact. This role combines software engineering and applied AI to develop production-grade capabilities using LLMs, AI agents, and computer vision. As part of Crewlogix’s AI-first operating model, you will build intelligent systems that analyze visual environments, automate workflows, and power AI-driven product experiences.

(Agentic AI + Computer Vision / Vision AI Focus)

Key Responsibilities

• Design and implement agentic AI workflows capable of reasoning, planning, and tool usage
• Build computer vision pipelines for image analysis, object detection, and defect detection
• Develop multimodal AI systems combining vision models with LLM reasoning
• Implement AI inference APIs and scalable backend services
• Train, fine-tune, or adapt vision and multimodal models when required
• Build real-time or near-real-time image processing pipelines
• Contribute to model deployment, monitoring, and optimization
• Mentor junior AI engineers and review AI implementations
• Use AI-assisted development tools (GitHub Copilot, Cursor, Claude, etc.) to accelerate development
• Optimize AI pipelines for latency, scalability, and inference cost

​​​​Required Skills & Experience

• 4+ years of hands-on AI/ML engineering experience
• Strong Python development skills for AI systems
• Experience building production-grade AI applications and APIs
• Experience with GenAI frameworks, RAG pipelines, or AI agents
• Hands-on experience with computer vision frameworks (OpenCV, PyTorch, TensorFlow)
• Experience with vision models such as YOLO, Detectron, SAM, CLIP, or similar
• Experience building multimodal AI systems combining vision and language models
• Familiarity with vector databases and embedding pipelines
• Experience with Docker and cloud platforms (AWS/GCP/Azure)
• Strong expertise in AI-assisted development tools (GitHub Copilot, Cursor, Claude, etc.)
• Understanding of prompt engineering and token optimization strategies
• Frontend experience with React / Next.js or backend experience with Node.js / NestJS is a plus
• Applicants are encouraged to include GitHub repositories, demos, or technical projects showcasing their work.

Timings & Location

• Monday - Friday
• 10:00 AM to 7:00 PM
• Gulberg 3, Lahore

Other Perks & Benefits

• In-Patient Medical Insurance on confirmation.
• Employee Fund.
• 18 paid annual leaves including casual, informed, and medical leaves.
• 6 Bonus Leaves (On Performance Consideration, awarded by the supervisor).
• Annual Increment..
• Training and development sessions.
• Monthly Recreational Activities.