We are seeking an experienced Senior AI Engineer in Lahore to lead the design, development, deployment, and optimization of cutting-edge Artificial Intelligence and Machine Learning solutions. The ideal candidate has extensive experience building production-grade AI systems, developing Large Language Model (LLM) applications, and integrating AI capabilities into enterprise software. This role requires strong software engineering skills, deep expertise in machine learning, and the ability to collaborate with cross-functional teams to deliver scalable AI products.
Key Responsibilities:
- Design, develop, and deploy AI/ML models for real-world production environments.
- Build and optimize Generative AI applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or Mistral.
- Develop Retrieval-Augmented Generation (RAG) systems using vector databases.
- Fine-tune open-source foundation models using techniques such as LoRA, QLoRA, and PEFT.
- Design AI agents and autonomous workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
- Create scalable ML pipelines for data preprocessing, model training, evaluation, deployment, and monitoring.
- Deploy AI services using Docker, Kubernetes, and cloud platforms (AWS, Azure, or Google Cloud).
- Build APIs and microservices for AI model integration.
- Implement MLOps best practices including CI/CD, model versioning, monitoring, and automated retraining.
- Optimize AI systems for latency, scalability, and cost efficiency.
- Collaborate with Product Managers, Data Scientists, Software Engineers, and stakeholders to define AI strategies.
- Evaluate emerging AI technologies and recommend innovative solutions.
- Mentor junior engineers and establish engineering best practices.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.
- 6+ years of software engineering experience.
- 4+ years of hands-on AI/ML engineering experience.
- Strong proficiency in Python.
- Experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers, or similar frameworks.
- Experience building production AI systems.
- Strong knowledge of Deep Learning, NLP, Computer Vision, or Reinforcement Learning.
- Experience with Large Language Models (LLMs).
- Experience implementing RAG architectures.
- Familiarity with prompt engineering and prompt optimization.
- Experience working with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or Milvus.
- Experience with SQL and NoSQL databases.
- Strong understanding of REST APIs and microservices.
- Experience with Docker and Kubernetes.
- Experience with Git, CI/CD pipelines, and Agile development.
- Excellent problem-solving and communication skills.