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Senior AI Engineer

2 weeks ago

Lahore, Punjab, Pakistan Strategic Systems International Full time $120,000 - $200,000 per year

PURPOSE:

We are looking for a Senior AI Engineer to lead the development of advanced Generative AI solutions leveraging LLMs, diffusion models, and modern AI/ML frameworks. In this role, you will design, train, fine-tune, and deploy models using Python and deep learning frameworks such as PyTorch and TensorFlow. You will ensure solutions are scalable, efficient, and business-aligned, applying cutting-edge AI to real-world challenges in areas such as healthcare, accessibility, and enterprise automation.

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

  • Bachelor's in AI, Computer Science, or Software Engineering.
  • 4+ years in software development with strong AI/ML expertise.
  • Proficiency in Python with hands-on use of PyTorch, TensorFlow, Keras.
  • Experienced in LLMs (GPT, LLaMA, Mistral), LangChain/agentic AI, and RAG with vector databases (FAISS, Pinecone, Weaviate)
  • Knowledge of diffusion models, computer vision (OpenCV, YOLO, CLIP), and speech-to-text (Whisper, DeepSpeech).
  • Skilled in Docker, FastAPI/Flask, AWS SageMaker/Azure ML, and modern MLOps pipelines.
  • Excellent communication skills, experience working with international clients, and ability to lead technical discussions.
  • Technical focus on AutoML, GANs, Graph ML, Ethical AI, AI Safety.

KEY RESPONSIBILITIES:

  • AI Model Development: Design, train, fine-tune, and deploy cutting-edge Generative AI (GenAI) models, ensuring scalability, efficiency, and alignment with business objectives.

  • Programming & Frameworks: Develop robust AI solutions using Python, PyTorch, TensorFlow, Keras, FastAPI/Flask, and containerization tools like Docker.

  • LLM Expertise: Implement and orchestrate Transformer-based large language models (LLMs) such as GPT, LLaMA, and Mistral, leveraging frameworks like LangChain or LLM agents for prompt engineering and model fine-tuning.

  • Computer Vision & Image Processing: Apply practical experience in object detection, scene understanding, and image captioning using OpenCV, YOLO, or CLIP.

  • Speech & Language Systems: Build AI-powered closed captioning and speech-to-text systems using models like Whisper, DeepSpeech, or other STT frameworks.

  • Data & Retrieval Systems: Manage retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate) to optimize information retrieval and AI responses.

  • System Integration: Integrate AI models with MCP (Model Context Protocol) servers to enable real-time querying of system state, user context, and dynamic platform constraints.

  • Ethical & Human-Centric AI: Ensure AI solutions adhere to principles of accessibility, human-centric design, and ethical considerations, particularly for assistive systems serving vulnerable populations.

A Culture of Belonging: At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.