Software Engineer – Backend (Java, Python & Generative AI)

Software Engineer Backend (Java Python & Generative AI)

Location: Austin TX

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.

Key Responsibilities

• 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.

Required Qualifications

• 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 TensorFlow 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.

Preferred Qualifications

• 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.