Senior Software Engineer – AI/ML

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CloudPSO

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

CloudPSO is an innovative company that provides solutions for managing WiFi network settings through its My Spectrum app. Users can customize network parameters such as the network name and password, manage devices, and modify advanced settings like DNS and port forwarding. CloudPSO aims to enhance user control over their internet connectivity and optimize network performance.

📋 Description

• Design and build autonomous or semi-autonomous AI agents that can plan, reason, and interact with tools, APIs, or external systems • Implement agentic frameworks such as 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 • Perform 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 • Maintain scalable, maintainable codebases with CI/CD, observability, and cloud-native design • Contribute to technical architecture and design reviews for AI-driven features and platforms • Stay current with LLMs, agent frameworks, and model architectures • Prototype and evaluate approaches for reasoning, tool use, and adaptive agent behavior • Share learnings and mentor peers in ML and AI development best practices

🎯 Requirements

• Bachelor's Degree in Computer Science or related fields • 5 years of experience • Strong programming skills in Python (mandatory) • Proficiency with PyTorch, TensorFlow, or transformer-based models • Experience building or integrating AI agents using LangChain, LlamaIndex, CrewAI, or custom frameworks • Strong grasp of the ML model lifecycle: data processing, model training, evaluation, deployment, and monitoring • Experience with AWS, GCP, or Azure and Docker, Kubernetes • Familiarity with API integrations, microservices, and asynchronous systems • Strong understanding of vector databases such as Pinecone, Weaviate, FAISS, or Chroma and retrieval architectures • Software engineering fundamentals including testing, version control, and system design • Experience with LLM fine-tuning, prompt optimization, or RAG systems • Familiarity with multi-agent systems and coordination mechanisms • Knowledge of MLOps tools including MLflow, Kubeflow, SageMaker, or Vertex AI • Experience with AI system observability, evaluation metrics, and continuous learning loops • Exposure to reinforcement learning or self-improving agent architectures • Availability to work US time zone hours