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Senior Software Engineer (AI/ML)

Pakistan, Islamabad · Job Posted June 04, 2026
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Job Description

We are looking for a Senior Software Engineer (AI/ML) who can design, build, and scale intelligent systems — from machine learning pipelines to advanced AI agents capable of reasoning, planning, and automation. You will work on building production-grade AI models, integrating LLMs and tools, and designing agent architectures that interact with APIs, databases, and workflows. The role blends applied ML expertise with strong backend engineering and product-focused problem-solving.

Job Responsibility

  • Design and build autonomous or semi-autonomous AI agents that can plan, reason, and interact with tools, APIs, or external systems
  • Implement agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom orchestration systems)
  • leverage existing industry capabilities to deliver virtual assistant capabilities on top of xquic content including voice interactions
  • Optimize reasoning and retrieval pipelines using embeddings, vector databases, and prompt engineering
  • Develop, train, and fine-tune ML models using frameworks like PyTorch, TensorFlow, or scikit-learn
  • Work on data preprocessing, feature engineering, and model evaluation for NLP, computer vision, or predictive tasks
  • Build ML pipelines for training, deployment, and monitoring in production environments
  • Collaborate with engineering teams to integrate AI components into backend systems and APIs
  • Ensure scalable, maintainable codebases with CI/CD, observability, and cloud-native design (AWS/GCP/Azure)
  • Contribute to technical architecture and design reviews for AI-driven features and platforms
  • Stay current with the latest in LLMs, agent frameworks, and model architectures
  • Prototype and evaluate new approaches for reasoning, tool use, and adaptive behavior in agents
  • Share learnings and mentor peers in ML and AI development best practices

Requirements

  • Bachelors Degree in Computer Science or related fields
  • 3+ years of experience
  • Strong programming skills in Python (mandatory)
  • proficiency with PyTorch, TensorFlow, or transformers-based models
  • Experience in building or integrating AI agents (LangChain, LlamaIndex, CrewAI, custom frameworks)
  • Strong grasp of ML model lifecycle — data processing, model training, evaluation, deployment, and monitoring
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
  • Familiarity with API integrations, microservices, and asynchronous systems
  • Strong understanding of vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) and retrieval architectures
  • Solid software engineering fundamentals — testing, version control, and system design
  • Experience with LLM fine-tuning, prompt optimization, or RAG (Retrieval-Augmented Generation) systems
  • Familiarity with multi-agent systems and coordination mechanisms
  • Knowledge of MLOps tools (MLflow, Kubeflow, Sagemaker, Vertex AI)
  • Experience in AI system observability, evaluation metrics, and continuous learning loops
  • Exposure to reinforcement learning or self-improving agent architectures

What we offer

  • Provident Fund
  • Medical Inpatient Facility
  • Medical Outpatient Facility
  • Paid Overtime
  • In-house Subsidized Lunch & Dinner
  • Gym Facility
  • Entertaining Activities
  • Interest Free Loan Facility
  • Advance Salaries
  • Sports Allowance

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