Software Engineer, Backend Developer, Machine Learning​/ ML Engineer

Job Summary

STAFFXPERT LLC is seeking a Software Engineer Backend (Java, Python & Generative AI) on behalf of our client in Austin, TX. This role is ideal for a highly skilled backend engineer with experience building scalable applications, developing AI/ML-powered solutions, and working within modern cloud environments. The ideal candidate will have strong expertise in Java and Python, along with hands-on experience in machine learning frameworks and backend system design.

Austin, TX

• Design, develop, and maintain scalable backend systems and APIs using Java and Python.

• Build and integrate machine learning and AI-driven features into production applications.

• Develop and optimize ML pipelines, model training workflows, and deployment processes.

• Collaborate with cross-functional teams including engineering, product, and data teams to deliver high-quality solutions.

• Ensure backend services are reliable, secure, and scalable within cloud-based environments.

• Participate in architecture discussions, code reviews, testing, and system optimization initiatives.

• Troubleshoot and resolve performance, scalability, and reliability issues across applications and services.

• Strong backend engineering experience with Java and Python.

• Experience developing RESTful APIs, microservices, and distributed systems.

• Hands-on experience with machine learning, including model development and training pipelines.

• Familiarity with modern ML frameworks such as PyTorch, Tensor Flow, and scikit-learn.

• Experience working with cloud infrastructure and data processing tools.

• Ability to work independently while effectively collaborating with existing engineering teams.

• Strong verbal and written communication skills.

• Experience with Generative AI, Large Language Models (LLMs), or AI-powered application development.

• Familiarity with Docker, Kubernetes, and CI/CD pipelines.

• Knowledge of vector databases, RAG architectures, or model deployment frameworks is a plus.

• Prior experience in high-growth or fast-paced engineering environments preferred.