AI Software Engineer (Enterprise Applications)
Blue Sky Tech- Khash, Obeh
- On-site
- Negotiable
- Posted: 2 months ago
- Vacancy: 1
About the Company:
Blue Sky Tech is a California-based IT firm delivering next-generation cloud and AI solutions to enterprise clients. The company’s mission is to enable intelligent automation and decision-making through scalable, data-driven technologies.
Location: San Jose, California, United States
Employment Type: Full-time
Experience Level: Mid to Senior-level (4–7 years)
Role Overview:
As an AI Software Engineer, you will design, develop, and deploy AI-powered enterprise applications that enhance productivity, improve data-driven decision-making, and automate key business processes. You will collaborate with data scientists, product managers, and engineers to integrate machine learning models into production-grade software systems.
Key Responsibilities:
• Design and develop AI-powered applications and APIs for enterprise clients.
• Collaborate with data scientists to integrate ML models into scalable software systems.
• Develop and maintain cloud-native microservices and backend APIs.
• Work on model training, deployment, and monitoring pipelines.
• Conduct performance optimization for AI algorithms and application layers.
• Collaborate with UX/UI teams to enhance intelligent system interfaces.
• Stay up to date with the latest in AI frameworks, MLOps, and automation technologies.
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
• 4–7 years of experience in software development or applied AI engineering.
• Strong command of Python, JavaScript, or Java.
• Experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of cloud-based AI deployment (AWS Sagemaker, Azure ML, or GCP AI Platform).
• Familiarity with REST APIs, microservices, and containerization (Docker/Kubernetes).
• Excellent problem-solving, debugging, and communication skills.
What We Offer:
• Work on cutting-edge AI and automation projects with global enterprises.
• Access to state-of-the-art AI infrastructure and research environments.
• Learning budget for AI certifications and conferences.
• Collaborative work culture with cross-functional innovation teams.
• Opportunities for career advancement in AI-driven product development.