Note: The job is a remote job and is open to candidates in USA. Amtex Systems Inc is seeking a Senior Back-end AI Software Engineer to develop and support production-quality software for AI products. The role focuses on scalable backend systems and APIs, integrating AI capabilities, and supporting production reliability and engineering practices.
Responsibilities
- Design, develop, test, deploy, and support production-quality software supporting related AI products
- Build and enhance scalable applications, APIs, microservices, and distributed systems
- Collaborate with machine learning scientists and engineers to integrate AI capabilities into products, agents, and workflows
- Work closely with Product, QA, DevOps, and business stakeholders to define practical technical solutions
- Break down complex or ambiguous requirements into well-defined engineering tasks
- Contribute to architecture, technical standards, coding practices, and engineering best practices
- Troubleshoot performance, reliability, scalability, and integration issues in production environments
- Participate in code reviews, technical discussions, Agile ceremonies, and continuous improvement initiatives
- Provide technical mentorship and support to other engineers
- Use AI-assisted development tools to improve productivity, code quality, testing, and documentation
Skills
- 5+ years of professional software engineering experience
- Experience designing and developing large-scale, distributed, or cloud-based systems
- Strong hands-on experience with Python
- Experience designing and developing RESTful APIs, preferably using FastAPI
- Experience working with PostgreSQL or another relational database
- Strong understanding of microservices and distributed-systems architecture
- Experience with Docker and containerized application development
- Experience with automated testing and test-driven development practices
- Experience with Kafka or comparable messaging, streaming, or queueing technology
- Experience with Git, CI/CD, and Agile/Scrum development practices
- Strong communication and collaboration skills with both technical and non-technical stakeholders
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
- Demonstrated experience using AI technologies, including large language models, AI agents, or AI-enabled development tools
- Experience with Kubernetes and cloud-native application deployment
- Experience building AI-powered products, agents, platforms, or developer tools
- Experience using AI coding assistants such as Claude Code, Codex, Cursor, or comparable tools
- Experience working with machine learning engineers, data scientists, or applied AI teams
- Experience operating software in security-sensitive, regulated, government, or mission-critical environments
- Experience with observability, performance optimization, and production operations
- Experience working in an early-stage, high-growth, or highly entrepreneurial technology environment
Benefits
- 100% remote
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