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Senior Software Engineer (AI/ML) - Part-time | Remote

Remote · Spain Full-time

This is a remote position.

Job Location: Pakistan (Remote) Employment type: Part-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

Bachelor's degree in computer science or related field, 5 years' experience, Python, ML frameworks, AI agents, cloud platforms, Docker, Kubernetes, vector databases, MLOps, and software engineering fundamentals.

Key Responsibilities

  • building AI agents
  • developing ML models
  • mentoring peers

Skills & Tools

Python, LangChain, LlamaIndex, CrewAI, PyTorch, TensorFlow, scikit-learn, Docker, Kubernetes, Pinecone, Weaviate, FAISS, Chroma, MLflow, Kubeflow, Sagemaker, Vertex AI, AWS, GCP, Azure, CI/CD, LLMs, RAG

Job Details

  • Category: Software Development
  • Seniority: Senior Level
  • Commitment: Part Time
  • Workplace: Remote — Pakistan
  • Languages: English

About CloudPSO

An information technology company providing software and artificial intelligence services. — Industry: Information Technology

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