Senior Full-Stack AI/ML Engineer at Murava LLC in Islamabad

Job Title: Senior Full-Stack AI/ML Engineer (5+ Years Experience)

Company: Murava HealthTech

About Murava HealthTech

Murava HealthTech is a U.S.-based technology company specializing in artificial intelligence, healthcare technology, digital infrastructure, and enterprise software solutions. We develop intelligent, secure, and scalable platforms designed to improve healthcare delivery, clinical decision-making, operational efficiency, and digital transformation.

Position Overview

We are seeking an experienced Senior Full-Stack AI/ML Engineer with more than five years of professional software development experience and strong expertise in AI model development, training, fine-tuning, cloud infrastructure, and full-stack application development.

The selected candidate will be responsible for designing, developing, integrating, testing, and deploying AI-powered applications and enterprise systems, with a particular focus on healthcare technology.

Key Responsibilities

• Design, develop, and maintain scalable full-stack web applications using React.js, Next.js, TypeScript, Python, FastAPI, Django, and Node.js.
• Develop, train, fine-tune, evaluate, and deploy machine learning and large language models (LLMs).
• Work with open-source AI models, including Llama, Qwen, and Mistral.
• Implement Retrieval-Augmented Generation (RAG), vector databases, model embeddings, LoRA, and QLoRA.
• Build and integrate AI-powered clinical decision support, predictive analytics, and healthcare automation tools.
• Develop RESTful APIs, microservices, and secure backend systems.
• Design and manage PostgreSQL, MySQL, MongoDB, and other databases.
• Integrate electronic health records (EHR/EMR), hospital information systems, and healthcare applications using HL7 FHIR standards.
• Develop real-time patient monitoring dashboards and integrate wearable devices, medical sensors, and IoT technologies.
• Configure and manage cloud environments, Linux servers, GPU infrastructure, and AI model hosting.
• Implement Docker, Kubernetes, CI/CD pipelines, and automated deployment processes.
• Develop secure authentication, role-based access control, encryption, audit logging, and data protection mechanisms.
• Optimize system performance, scalability, reliability, and AI model accuracy.
• Conduct software testing, model validation, debugging, and technical documentation.
• Collaborate with healthcare professionals, project managers, and technical teams to develop practical AI-driven solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• More than 5 years of professional full-stack software development experience.
• Minimum 2 years of hands-on experience in AI/ML development, model training, fine-tuning, or deployment.
• Advanced proficiency in Python, JavaScript, TypeScript, React.js, and modern backend frameworks.
• Experience with PyTorch, TensorFlow, Hugging Face Transformers, and machine learning frameworks.
• Proven experience implementing LLMs, RAG pipelines, and AI model optimization.
• Strong understanding of API development, database architecture, and system integration.
• Experience working with Linux, cloud platforms, Docker, and GPU-enabled servers.
• Strong understanding of cybersecurity, software architecture, and scalable enterprise applications.
• Ability to independently design, develop, and deploy production-ready applications.
• Excellent analytical, problem-solving, communication, and documentation skills.

Preferred Qualifications

• Experience in healthcare software development, hospital management systems, or digital health applications.
• Knowledge of HL7 FHIR, EHR/EMR integration, and healthcare interoperability.
• Experience with medical devices, wearable technology, IoT integration, and remote patient monitoring.
• Knowledge of AI-assisted clinical decision support systems.
• Experience deploying and optimizing open-source LLMs on private GPU servers.
• Familiarity with MLOps, model monitoring, AI governance, and healthcare data protection regulations.
• Experience developing scalable applications for international projects.

What We Are Looking For

We are looking for a technically independent, innovative, and results-driven engineer capable of managing the complete AI software development lifecycle, from architecture and model training to full-stack implementation and deployment.

Candidates should demonstrate real-world experience building and deploying AI-powered systems, not simply integrating third-party chatbot APIs.

How to Apply

Interested candidates should submit their updated résumé, GitHub profile or technical portfolio, examples of completed AI/full-stack projects, availability, and expected compensation.

Pay: Rs276,580.40 - Rs414,870.60 per month

Work Location: In person