Senior Software Engineer (AIML) Part-time | Remote
Monthly Salary:
Not provided by the employer
Experience Required:
5years
Posted:
7 August 2026 (8 hours ago)
Application Deadline:
4 November 2026
Vacancies:
1 Vacancy
Job Summary
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