Design and scale production AI/ML systems, including autonomous agents, LLM integrations, retrieval pipelines, and virtual assistants with voice capabilities. Build and optimize models, training and deployment pipelines, APIs, and cloud-native services. Apply agent frameworks, vector databases, RAG, fine-tuning, observability, and MLOps practices. Collaborate on architecture, evaluate emerging reasoning and tool-use approaches, and mentor engineering peers.
This is a remote position.
Job Location: Pakistan (Remote)
Employment type: Full-time
Job timings: US time zone
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.
Responsibilities:
- 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
- 5 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
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