Freelance Senior Software Engineer – AI & Cloud Solutions

Senior Software Engineer – AI & Cloud Solutions
Employment Type: Part-Time Contract
Work Mode: Remote
Experience: 5+ Years
Industry: Healthcare Technology / Software Development
Position Summary
We are looking for an experienced Senior Software Engineer – AI & Cloud Solutions to design, develop, and deploy scalable enterprise applications and AI-powered solutions. You will contribute to modernizing healthcare technology systems, automating complex workflows, and building secure, high-performance software solutions.
The ideal candidate will have strong software engineering fundamentals, hands-on experience integrating AI capabilities, and knowledge of cloud platforms, microservices, and DevOps practices.
Key Responsibilities
Design, develop, deploy, and maintain scalable enterprise software applications and AI-powered solutions.
Build AI-enabled features, automated workflows, and integrations with machine learning services and APIs.
Write clean, maintainable, and high-performance code using Python, Java, C#, or TypeScript.
Design and support microservices-based applications and cloud-native solutions.
Implement CI/CD pipelines, DevOps automation, and containerization using Docker and Kubernetes.
Collaborate with product, engineering, and data teams to define requirements and technical solutions.
Troubleshoot production issues, optimize application performance, and maintain integration pipelines.
Participate in code reviews, architecture discussions, and technical design reviews.
Follow responsible AI practices, data governance, and applicable security and privacy standards.
Mentor engineers and contribute to continuous engineering improvement.
Required Skills
5+ years of professional software development experience.
3+ years of experience with Python, Java, C#, or TypeScript.
Experience working in Agile/Scrum environments.
Hands-on experience building AI-powered features, automated workflows, or ML service/API integrations.
Experience with Docker, Kubernetes, and CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
Knowledge of AWS, Azure, or GCP and microservices architecture.
Strong debugging, problem-solving, and software design skills.
Preferred Qualifications
Experience integrating Large Language Models (LLMs), NLP, or vector databases into applications.
Knowledge of responsible AI, AI safety, and data governance.
Experience with healthcare systems, health benefits operations, or HIPAA-related security and privacy requirements.
Master's degree in Computer Science, Artificial Intelligence, or a related field.
Opportunity Details
Part-time contract engagement
Fully remote opportunity
Opportunity to work on enterprise-scale software and AI-powered solutions
Interested candidates: Apply through LinkedIn with your updated resume highlighting relevant software engineering, AI integration, cloud, and DevOps experience.

Work arrangement
Yes